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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-ND2 is potential prognostic, high expression is favorable in Kidney Chromophobe (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
23611.5
Number of samples
64
Samples
Sample
Description
pTPM
TCGA-KO-8416-01A
41 years, male, white, stage:Stage III, alive, 2752 days
112300.0
TCGA-KO-8403-01A
49 years, male, white, stage:Stage I, alive, 3208 days
52154.2
TCGA-KM-8476-01A
47 years, male, white, stage:Stage I, alive, 3745 days
49521.0
TCGA-KO-8410-01A
74 years, female, white, stage:Stage I, alive, 3136 days
48256.1
TCGA-KM-8443-01A
57 years, male, white, stage:Stage II, alive, 1520 days
46980.3
TCGA-KN-8431-01A
35 years, female, stage:Stage II, alive, 588 days
45616.7
TCGA-KM-8438-01A
45 years, female, white, stage:Stage II, alive, 4622 days
42341.5
TCGA-KM-8477-01A
56 years, male, white, stage:Stage I, alive, 1553 days
38650.4
TCGA-KL-8324-01A
67 years, female, white, stage:Stage II, alive, 4676 days
38549.3
TCGA-KN-8421-01A
47 years, female, white, stage:Stage II, alive, 2674 days
38194.6
TCGA-KL-8330-01A
44 years, female, black or african american, stage:Stage II, alive, 3304 days
37926.3
TCGA-KL-8337-01A
26 years, male, black or african american, stage:Stage II, alive, 1364 days
33363.1
TCGA-KO-8414-01A
50 years, female, white, stage:Stage II, alive, 3212 days
30696.7
TCGA-KN-8425-01A
53 years, male, white, stage:Stage I, alive, 3179 days
28857.5
TCGA-KL-8328-01A
60 years, male, white, stage:Stage II, alive, 3127 days
28854.7
TCGA-KL-8335-01A
67 years, male, white, stage:Stage III, alive, 2815 days
28639.9
TCGA-KO-8415-01A
44 years, female, white, stage:Stage I, alive, 2939 days
27703.1
TCGA-KO-8407-01A
42 years, male, white, stage:Stage II, alive, 2820 days
27265.6
TCGA-KL-8341-01A
41 years, male, asian, stage:Stage IV, dead, 754 days
26991.5
TCGA-KL-8342-01A
45 years, female, white, stage:Stage II, alive, 2248 days
26531.0
TCGA-KL-8345-01A
75 years, male, white, stage:Stage III, alive, 1665 days
26471.4
TCGA-KL-8327-01A
46 years, female, white, stage:Stage I, alive, 4169 days
26267.8
TCGA-KL-8334-01A
37 years, female, white, stage:Stage III, alive, 2949 days
25974.2
TCGA-KO-8413-01A
46 years, male, white, stage:Stage I, alive, 3038 days
25644.0
TCGA-KO-8408-01A
47 years, male, white, stage:Stage III, dead, 507 days
25017.3
TCGA-KL-8346-01A
62 years, male, white, stage:Stage II, alive, 1897 days
24940.4
TCGA-KL-8340-01A
34 years, male, white, stage:Stage II, alive, 2024 days
24785.8
TCGA-KM-8442-01A
38 years, male, stage:Stage II, alive, 1437 days
23731.3
TCGA-KL-8332-01A
55 years, male, white, stage:Stage I, alive, 2582 days
23599.9
TCGA-KL-8326-01A
69 years, male, white, stage:Stage III, alive, 3322 days
21353.6
TCGA-KO-8409-01A
69 years, male, white, stage:Stage II, alive, 3180 days
21345.1
TCGA-KN-8418-01A
41 years, female, white, stage:Stage II, alive, 3935 days
21161.2
TCGA-KO-8405-01A
29 years, male, white, stage:Stage III, alive, 3056 days
20442.4
TCGA-KN-8435-01A
59 years, male, white, stage:Stage II, alive, 3498 days
20112.6
TCGA-KO-8417-01A
30 years, female, white, stage:Stage I, alive, 2815 days
18474.7
TCGA-KO-8406-01A
17 years, female, white, stage:Stage I, alive, 3145 days
17404.8
TCGA-KL-8331-01A
48 years, female, white, stage:Stage II, alive, 3010 days
16316.2
TCGA-KL-8338-01A
51 years, male, white, stage:Stage III, alive, 2633 days
16105.5
TCGA-KL-8323-01A
57 years, female, white, stage:Stage III, dead, 1158 days
15505.8
TCGA-KN-8436-01A
62 years, male, white, stage:Stage II, alive, 1288 days
15227.4
TCGA-KN-8426-01A
50 years, male, white, stage:Stage IV, alive, 108 days
15107.4
TCGA-KN-8437-01A
42 years, female, white, stage:Stage I, alive, 3068 days
14708.9
TCGA-KL-8344-01A
51 years, male, white, stage:Stage III, alive, 876 days
14619.0
TCGA-KL-8333-01A
69 years, male, white, stage:Stage II, alive, 2991 days
14482.1
TCGA-KL-8325-01A
56 years, female, white, stage:Stage II, dead, 725 days
14262.5
TCGA-KN-8434-01A
65 years, female, white, stage:Stage II, alive, 1797 days
13925.6
TCGA-KM-8440-01A
37 years, male, black or african american, stage:Stage III, alive, 1366 days
13406.0
TCGA-KN-8419-01A
43 years, male, black or african american, stage:Stage II, alive, 714 days
12992.1
TCGA-KO-8411-01A
58 years, male, white, stage:Stage I, alive, 3958 days
12922.0
TCGA-KO-8404-01A
78 years, male, white, stage:Stage IV, dead, 325 days
12655.7
TCGA-KN-8424-01A
42 years, female, white, stage:Stage I, alive, 1983 days
12317.9
TCGA-KN-8433-01A
46 years, female, white, stage:Stage III, alive, 341 days
12100.3
TCGA-KN-8423-01A
44 years, male, white, stage:Stage I, alive, 788 days
12066.1
TCGA-KN-8429-01A
38 years, female, white, stage:Stage III, alive, 2650 days
11735.0
TCGA-KL-8329-01A
57 years, female, asian, stage:Stage I, alive, 2752 days
11247.1
TCGA-KL-8339-01A
67 years, male, white, stage:Stage IV, dead, 855 days
10663.8
TCGA-KM-8439-01A
30 years, male, white, stage:Stage I, alive, 708 days
10657.3
TCGA-KL-8336-01A
51 years, female, white, stage:Stage IV, dead, 920 days
9620.1
TCGA-KL-8343-01A
72 years, male, white, stage:Stage III, dead, 2172 days
8896.8
TCGA-KM-8639-01A
67 years, male, white, stage:Stage I, alive, 953 days
8743.7
TCGA-KN-8432-01A
86 years, female, white, stage:Stage II, alive, 76 days
8496.2
TCGA-KN-8428-01A
71 years, male, white, stage:Stage II, dead, 1590 days
8333.0
TCGA-KM-8441-01A
61 years, female, white, stage:Stage I, alive, 876 days
7634.0
TCGA-KN-8427-01A
54 years, male, white, stage:Stage IV, alive, 30 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-ND2 is potential prognostic, high expression is unfavorable in Kidney Renal Clear Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
13426.4
Number of samples
521
Samples
Sample
Description
pTPM
TCGA-BP-4960-01A
46 years, male, white, stage:Stage II, alive, 2172 days
44873.1
TCGA-AK-3454-01A
84 years, male, white, stage:Stage I, alive, 874 days
41990.8
TCGA-BP-4971-01A
40 years, male, white, stage:Stage III, alive, 1487 days
41030.3
TCGA-B0-5121-01A
56 years, male, white, stage:Stage I, alive, 1485 days
39056.5
TCGA-B0-4822-01A
78 years, male, white, stage:Stage II, dead, 1111 days
37858.0
TCGA-BP-4334-01A
56 years, male, white, stage:Stage III, dead, 645 days
37576.6
TCGA-BP-5191-01A
79 years, male, white, stage:Stage III, alive, 967 days
37551.2
TCGA-B0-4841-01A
63 years, male, white, stage:Stage IV, dead, 204 days
36238.7
TCGA-A3-3374-01A
51 years, female, black or african american, stage:Stage I, alive, 1314 days
35827.4
TCGA-A3-3322-01A
51 years, male, white, stage:Stage I, alive, 1478 days
35138.2
TCGA-BP-5009-01A
52 years, male, white, stage:Stage I, dead, 1092 days
34059.8
TCGA-BP-5185-01A
56 years, male, white, stage:Stage I, alive, 1132 days
34014.9
TCGA-CJ-4638-01A
46 years, female, white, stage:Stage IV, dead, 431 days
33144.3
TCGA-CJ-4636-01A
51 years, male, white, stage:Stage III, alive, 1924 days
32494.3
TCGA-BP-4977-01A
57 years, male, white, stage:Stage I, alive, 454 days
32399.3
TCGA-AK-3433-01A
48 years, female, white, stage:Stage II, alive, 3409 days
32198.4
TCGA-B0-5085-01A
76 years, female, white, stage:Stage III, dead, 770 days
31791.9
TCGA-AK-3465-01A
71 years, female, black or african american, stage:Stage I, alive, 369 days
31120.3
TCGA-B0-5117-01A
40 years, male, white, stage:Stage I, alive, 1608 days
30921.8
TCGA-B0-4707-01A
63 years, male, white, stage:Stage III, dead, 600 days
30865.0
TCGA-BP-4981-01A
75 years, female, white, stage:Stage III, dead, 1097 days
30680.5
TCGA-BP-4989-01A
58 years, male, white, stage:Stage III, alive, 118 days
28601.8
TCGA-B0-4713-01A
76 years, female, white, stage:Stage III, dead, 202 days
28572.0
TCGA-B8-4620-01A
70 years, female, white, stage:Stage III, alive, 777 days
28391.6
TCGA-B0-5088-01A
53 years, male, white, stage:Stage I, dead, 563 days
27536.3
TCGA-CJ-4901-01A
47 years, male, white, stage:Stage III, alive, 1450 days
27272.2
TCGA-B0-5083-01A
63 years, male, white, stage:Stage I, dead, 1045 days
27071.8
TCGA-BP-5001-01A
43 years, female, white, stage:Stage I, alive, 1177 days
26917.1
TCGA-BP-5178-01A
71 years, male, white, stage:Stage IV, dead, 1912 days
26861.6
TCGA-CJ-4873-01A
85 years, female, white, stage:Stage III, alive, 1776 days
26768.6
TCGA-B0-4811-01A
48 years, male, white, stage:Stage III, dead, 1417 days
26721.7
TCGA-BP-4799-01A
70 years, male, white, stage:Stage III, dead, 1133 days
26673.2
TCGA-B0-4813-01A
68 years, male, white, stage:Stage III, dead, 18 days
26351.1
TCGA-B0-4819-01A
60 years, female, white, stage:Stage IV, dead, 183 days
26240.6
TCGA-BP-4158-01A
69 years, male, white, stage:Stage I, alive, 3377 days
26105.3
TCGA-B0-5703-01A
73 years, male, white, stage:Stage I, alive, 2246 days
25909.1
TCGA-A3-3367-01A
72 years, male, white, stage:Stage I, alive, 2270 days
25749.0
TCGA-BP-5175-01A
60 years, male, white, stage:Stage I, alive, 932 days
25724.1
TCGA-BP-4335-01A
65 years, female, white, stage:Stage IV, dead, 475 days
25459.6
TCGA-CZ-4854-01A
68 years, male, white, stage:Stage I, dead, 1404 days
25429.0
TCGA-CJ-4912-01A
61 years, male, white, stage:Stage II, alive, 1657 days
25425.7
TCGA-BP-4969-01A
63 years, female, white, stage:Stage I, alive, 1794 days
25001.0
TCGA-BP-5000-01A
40 years, male, white, stage:Stage I, alive, 563 days
24947.3
TCGA-CJ-4882-01A
57 years, male, black or african american, stage:Stage III, alive, 1883 days
24945.8
TCGA-BP-4798-01A
74 years, male, white, stage:'--, dead, 334 days
24869.2
TCGA-BP-4159-01A
70 years, male, white, stage:Stage I, dead, 2601 days
24838.3
TCGA-BP-4759-01A
50 years, male, white, stage:Stage I, alive, 2372 days
24701.1
TCGA-AS-3777-01A
63 years, male, white, stage:Stage I, alive, 1238 days
24643.4
TCGA-B0-4834-01A
49 years, male, white, stage:Stage I, dead, 2090 days
24504.3
TCGA-A3-3319-01A
70 years, male, white, stage:Stage I, alive, 1130 days
24296.0
TCGA-BP-5169-01A
70 years, male, white, stage:Stage I, alive, 193 days
24287.9
TCGA-CJ-4887-01A
48 years, male, white, stage:Stage IV, dead, 932 days
24196.0
TCGA-BP-4327-01A
75 years, female, white, stage:Stage II, dead, 109 days
24169.1
TCGA-B0-4714-01A
81 years, male, white, stage:Stage IV, dead, 99 days
24018.7
TCGA-A3-3324-01A
51 years, male, white, stage:Stage I, alive, 1186 days
23953.8
TCGA-BP-4962-01A
58 years, male, white, stage:Stage II, alive, 1785 days
23943.8
TCGA-B0-4828-01A
79 years, male, white, stage:Stage IV, dead, 307 days
23866.0
TCGA-CJ-4875-01A
67 years, male, white, stage:Stage IV, dead, 3554 days
23660.5
TCGA-B0-4817-01A
81 years, male, white, stage:Stage III, dead, 1019 days
23550.5
TCGA-BP-5010-01A
63 years, male, white, stage:Stage III, dead, 878 days
23523.7
TCGA-BP-5190-01A
61 years, male, white, stage:Stage I, alive, 1011 days
23448.6
TCGA-CZ-5987-01A
60 years, male, white, stage:Stage IV, dead, 445 days
23310.0
TCGA-A3-3385-01A
46 years, female, white, stage:Stage I, alive, 1993 days
23061.5
TCGA-B2-3923-01A
59 years, male, white, stage:Stage II, alive, 992 days
22672.4
TCGA-CJ-5679-01A
73 years, male, white, stage:Stage III, dead, 679 days
22609.9
TCGA-B0-5084-01A
33 years, male, white, stage:Stage IV, dead, 222 days
22483.9
TCGA-BP-4165-01A
64 years, female, white, stage:Stage I, alive, 3037 days
22455.0
TCGA-A3-3335-01A
41 years, male, white, stage:Stage II, alive, 1886 days
22371.6
TCGA-B0-4833-01A
82 years, female, white, stage:Stage I, dead, 2386 days
22222.3
TCGA-A3-3380-01A
54 years, male, stage:Stage I, alive, 567 days
22162.1
TCGA-BP-4967-01A
76 years, male, white, stage:Stage III, alive, 205 days
21994.7
TCGA-B8-4619-01A
58 years, male, white, stage:Stage I, alive, 523 days
21923.2
TCGA-BP-4329-01A
75 years, male, white, stage:Stage III, dead, 845 days
21862.0
TCGA-BP-4963-01A
63 years, male, white, stage:Stage I, alive, 1834 days
21854.4
TCGA-MM-A564-01A
68 years, male, black or african american, stage:Stage II, alive, 607 days
21754.7
TCGA-AK-3434-01A
72 years, male, white, stage:Stage I, alive, 2087 days
21725.3
TCGA-AK-3426-01A
37 years, male, white, stage:Stage III, dead, 885 days
21527.5
TCGA-BP-4768-01A
72 years, female, white, stage:Stage I, alive, 400 days
21359.3
TCGA-B4-5832-01A
65 years, male, white, stage:Stage III, alive, 155 days
21315.0
TCGA-BP-4774-01A
57 years, female, white, stage:Stage I, alive, 1885 days
21226.8
TCGA-CZ-5460-01A
55 years, male, white, stage:Stage IV, alive, 2873 days
21048.2
TCGA-B0-4718-01A
57 years, male, white, stage:Stage III, alive, 1778 days
21046.0
TCGA-B8-A54E-01A
62 years, female, black or african american, stage:Stage I, alive, 909 days
21030.1
TCGA-BP-4973-01A
47 years, male, white, stage:Stage III, alive, 1384 days
20820.0
TCGA-AK-3440-01A
58 years, male, white, stage:Stage I, alive, 2865 days
20631.4
TCGA-B0-5077-01A
77 years, male, white, stage:Stage I, dead, 1317 days
20564.4
TCGA-CJ-5676-01A
47 years, male, white, stage:Stage III, alive, 4067 days
20493.0
TCGA-B0-5694-01A
71 years, male, white, stage:Stage III, dead, 480 days
20421.6
TCGA-B0-5106-01A
64 years, male, white, stage:Stage I, dead, 1598 days
20315.5
TCGA-CZ-5453-01A
67 years, male, white, stage:Stage II, dead, 2419 days
20285.7
TCGA-B0-5075-01A
77 years, female, white, stage:Stage III, dead, 637 days
20276.8
TCGA-CZ-4853-01A
82 years, male, white, stage:Stage I, alive, 774 days
20198.6
TCGA-BP-4341-01A
67 years, male, white, stage:Stage III, dead, 1589 days
19937.2
TCGA-CJ-4884-01A
72 years, female, white, stage:Stage III, alive, 1759 days
19926.9
TCGA-B0-4849-01A
51 years, male, white, stage:Stage III, dead, 69 days
19916.2
TCGA-BP-4777-01A
46 years, male, white, stage:Stage I, alive, 1731 days
19816.9
TCGA-CJ-4888-01A
59 years, male, white, stage:Stage IV, dead, 1567 days
19749.0
TCGA-CZ-5464-01A
69 years, male, white, stage:Stage IV, alive, 2128 days
19705.3
TCGA-BP-4325-01A
64 years, female, white, stage:Stage I, alive, 2964 days
19612.9
TCGA-A3-3317-01A
67 years, male, stage:Stage II, alive, 1491 days
19605.3
TCGA-B0-4839-01A
80 years, female, white, stage:Stage I, dead, 1639 days
19521.7
TCGA-CJ-4872-01A
51 years, male, white, stage:Stage I, alive, 1435 days
19512.7
TCGA-BP-4797-01A
34 years, male, white, stage:Stage III, alive, 1107 days
19494.6
TCGA-CJ-4903-01A
50 years, male, white, stage:Stage I, alive, 1560 days
19453.3
TCGA-CJ-4916-01A
69 years, female, white, stage:Stage III, alive, 1373 days
19432.8
TCGA-A3-3316-01A
57 years, male, white, stage:Stage II, alive, 1493 days
19343.6
TCGA-BP-4338-01A
43 years, male, white, stage:Stage I, alive, 2859 days
19262.1
TCGA-B0-4847-01A
60 years, male, white, stage:Stage IV, dead, 793 days
19224.2
TCGA-BP-4758-01A
40 years, male, white, stage:Stage I, alive, 2208 days
19158.0
TCGA-BP-4804-01A
59 years, male, white, stage:Stage I, alive, 1459 days
19140.1
TCGA-BP-4337-01A
76 years, female, white, stage:Stage III, dead, 2 days
19033.7
TCGA-BP-4959-01A
49 years, male, white, stage:Stage I, alive, 2660 days
18998.2
TCGA-BP-4167-01A
59 years, male, white, stage:Stage III, alive, 2718 days
18595.5
TCGA-BP-5200-01A
44 years, male, white, stage:Stage II, alive, 1063 days
18550.4
TCGA-AK-3453-01A
58 years, female, white, stage:Stage II, alive, 2531 days
18445.0
TCGA-BP-4992-01A
66 years, male, white, stage:Stage I, alive, 501 days
18444.3
TCGA-CJ-4635-01A
48 years, male, white, stage:Stage I, alive, 1416 days
18423.5
TCGA-B0-4852-01A
78 years, female, white, stage:Stage II, dead, 1121 days
18335.2
TCGA-BP-5201-01A
63 years, male, white, stage:Stage IV, alive, 951 days
18207.5
TCGA-BP-4972-01A
43 years, female, white, stage:Stage III, alive, 1502 days
18168.1
TCGA-B0-5081-01A
79 years, female, white, stage:Stage III, dead, 362 days
18046.8
TCGA-A3-3313-01A
59 years, male, black or african american, stage:Stage I, dead, 735 days
18015.9
TCGA-B0-4837-01A
63 years, male, white, stage:Stage I, dead, 1378 days
17948.7
TCGA-DV-5565-01A
59 years, male, white, stage:Stage I, alive, 1329 days
17933.4
TCGA-AK-3460-01A
58 years, male, white, stage:Stage I, alive, 2508 days
17881.1
TCGA-AK-3456-01A
48 years, male, black or african american, stage:Stage II, alive, 1143 days
17863.4
TCGA-BP-4776-01A
52 years, male, white, stage:Stage I, alive, 411 days
17760.9
TCGA-B0-4845-01A
70 years, male, white, stage:Stage IV, dead, 1986 days
17723.6
TCGA-A3-3372-01A
64 years, male, white, stage:Stage III, alive, 735 days
17657.6
TCGA-CZ-4857-01A
56 years, male, white, stage:Stage IV, dead, 1432 days
17443.1
TCGA-B0-4842-01A
73 years, female, white, stage:Stage III, dead, 1724 days
17437.7
TCGA-B0-4691-01A
55 years, male, white, stage:Stage IV, dead, 139 days
17367.1
TCGA-B0-4843-01A
57 years, male, white, stage:Stage III, dead, 320 days
17286.1
TCGA-B0-5402-01A
64 years, male, white, stage:Stage IV, alive, 1290 days
17219.2
TCGA-BP-4347-01A
74 years, male, white, stage:Stage III, alive, 1367 days
17200.8
TCGA-BP-5177-01A
46 years, female, white, stage:Stage I, alive, 293 days
17181.1
TCGA-BP-5180-01A
53 years, male, white, stage:Stage I, alive, 2263 days
17168.8
TCGA-AK-3447-01A
83 years, male, white, stage:Stage II, alive, 1217 days
17138.6
TCGA-BP-4964-01A
54 years, female, white, stage:Stage I, alive, 1862 days
17086.1
TCGA-B0-4706-01A
61 years, male, white, stage:Stage III, dead, 65 days
16928.7
TCGA-BP-4787-01A
59 years, female, white, stage:Stage IV, dead, 480 days
16754.4
TCGA-A3-3373-01A
54 years, female, white, stage:Stage I, alive, 1621 days
16657.7
TCGA-B8-A54D-01A
69 years, male, black or african american, stage:Stage III, alive, 830 days
16617.0
TCGA-BP-4999-01A
56 years, male, white, stage:Stage I, alive, 1266 days
16572.7
TCGA-B0-4844-01A
60 years, male, white, stage:Stage IV, dead, 313 days
16552.3
TCGA-BP-4349-01A
68 years, female, white, stage:Stage I, alive, 372 days
16521.2
TCGA-CJ-6027-01A
77 years, male, white, stage:Stage I, dead, 3615 days
16513.4
TCGA-B2-5639-01A
46 years, male, white, stage:Stage IV, dead, 1003 days
16474.6
TCGA-BP-4355-01A
59 years, female, white, stage:Stage III, dead, 953 days
16451.2
TCGA-BP-4166-01A
69 years, male, white, stage:Stage III, alive, 13 days
16373.2
TCGA-BP-4332-01A
36 years, male, white, stage:Stage III, alive, 1133 days
16368.7
TCGA-CJ-4891-01A
57 years, female, white, stage:Stage III, dead, 819 days
16201.5
TCGA-CZ-5454-01A
63 years, male, white, stage:Stage IV, dead, 722 days
16188.1
TCGA-B0-4838-01A
69 years, female, white, stage:Stage I, dead, 834 days
16117.4
TCGA-A3-3357-01A
62 years, male, white, stage:Stage II, alive, 2688 days
16036.8
TCGA-B0-4824-01A
49 years, female, white, stage:Stage I, dead, 1657 days
15978.2
TCGA-B0-5116-01A
52 years, male, white, stage:Stage III, alive, 1274 days
15965.3
TCGA-BP-4771-01A
62 years, male, white, stage:Stage IV, dead, 162 days
15910.7
TCGA-B8-4622-01A
57 years, male, white, stage:Stage IV, alive, 1525 days
15869.7
TCGA-BP-5168-01A
75 years, male, white, stage:Stage I, dead, 1463 days
15822.9
TCGA-CZ-5989-01A
60 years, male, white, stage:Stage II, alive, 1905 days
15794.8
TCGA-BP-4987-01A
41 years, female, asian, stage:Stage I, alive, 1124 days
15767.3
TCGA-B2-4098-01A
72 years, female, black or african american, stage:Stage I, dead, 51 days
15677.3
TCGA-A3-3311-01A
57 years, male, stage:Stage I, dead, 1191 days
15652.9
TCGA-B0-4945-01A
75 years, female, white, stage:Stage I, dead, 2145 days
15461.5
TCGA-CJ-5672-01A
84 years, male, white, stage:Stage I, dead, 1972 days
15208.2
TCGA-CJ-6031-01A
54 years, male, white, stage:Stage I, alive, 1906 days
15166.7
TCGA-BP-4993-01A
58 years, male, white, stage:Stage I, alive, 177 days
15120.1
TCGA-CZ-4856-01A
62 years, female, white, stage:Stage I, alive, 18 days
15097.3
TCGA-BP-4968-01A
40 years, male, white, stage:Stage I, alive, 1746 days
15085.2
TCGA-CJ-5684-01A
61 years, male, white, stage:Stage III, alive, 2231 days
15071.3
TCGA-MM-A563-01A
41 years, male, black or african american, stage:'--, alive, 591 days
15055.1
TCGA-BP-5004-01A
53 years, male, white, stage:Stage I, alive, 1126 days
15045.0
TCGA-A3-3326-01A
47 years, male, white, stage:Stage I, alive, 1137 days
15036.0
TCGA-B0-5099-01A
88 years, female, white, stage:Stage III, dead, 485 days
14890.7
TCGA-BP-5006-01A
61 years, male, white, stage:Stage I, alive, 840 days
14877.8
TCGA-A3-3358-01A
57 years, female, white, stage:Stage I, alive, 1307 days
14847.0
TCGA-BP-4985-01A
72 years, male, white, stage:Stage III, dead, 952 days
14789.7
TCGA-AK-3443-01A
45 years, male, white, stage:Stage II, alive, 1423 days
14745.2
TCGA-B0-4701-01A
66 years, female, white, stage:Stage IV, dead, 238 days
14698.0
TCGA-A3-3320-01A
52 years, female, white, stage:Stage I, alive, 1508 days
14682.3
TCGA-CJ-4920-01A
64 years, female, white, stage:Stage I, dead, 139 days
14660.1
TCGA-B0-5092-01A
53 years, female, white, stage:Stage IV, dead, 459 days
14532.2
TCGA-CJ-4893-01A
76 years, female, white, stage:Stage I, alive, 750 days
14471.7
TCGA-MM-A84U-01A
58 years, female, black or african american, stage:Stage I, alive, 700 days
14461.3
TCGA-A3-3323-01A
53 years, male, white, stage:Stage I, alive, 1106 days
14368.4
TCGA-G6-A8L8-01A
62 years, female, black or african american, stage:Stage I, dead, 1091 days
14240.8
TCGA-BP-4756-01A
62 years, female, asian, stage:Stage I, alive, 374 days
14223.2
TCGA-BP-4164-01A
51 years, female, white, stage:Stage III, dead, 992 days
14201.2
TCGA-CJ-4908-01A
38 years, male, white, stage:Stage I, alive, 1531 days
14194.4
TCGA-BP-4176-01A
64 years, male, white, stage:Stage I, alive, 1955 days
14153.0
TCGA-CJ-4885-01A
64 years, male, white, stage:Stage IV, alive, 3451 days
14126.8
TCGA-BP-4790-01A
76 years, male, white, stage:Stage I, dead, 1111 days
14117.9
TCGA-BP-4775-01A
55 years, female, white, stage:Stage I, alive, 1843 days
14088.2
TCGA-BP-5007-01A
45 years, male, white, stage:Stage II, alive, 1140 days
14035.6
TCGA-CW-5590-01A
51 years, male, white, stage:Stage IV, dead, 1075 days
13925.7
TCGA-CJ-6028-01A
58 years, male, white, stage:Stage IV, dead, 1625 days
13862.6
TCGA-A3-3331-01A
86 years, female, white, stage:Stage I, alive, 1257 days
13858.7
TCGA-CZ-5463-01A
76 years, male, white, stage:Stage II, alive, 662 days
13844.2
TCGA-CJ-5682-01A
60 years, male, white, stage:Stage IV, alive, 3736 days
13801.2
TCGA-BP-4803-01A
79 years, male, white, stage:Stage III, alive, 204 days
13784.1
TCGA-CZ-5461-01A
52 years, male, white, stage:Stage IV, dead, 330 days
13709.9
TCGA-A3-3352-01A
74 years, male, white, stage:Stage III, dead, 561 days
13691.2
TCGA-CJ-5671-01A
51 years, male, white, stage:Stage I, alive, 3987 days
13650.0
TCGA-CZ-4861-01A
63 years, male, white, stage:Stage II, dead, 446 days
13515.7
TCGA-CZ-5469-01A
41 years, male, white, stage:Stage II, dead, 946 days
13476.4
TCGA-BP-4994-01A
54 years, male, white, stage:Stage I, alive, 1308 days
13445.4
TCGA-BP-5194-01A
39 years, male, white, stage:Stage I, alive, 408 days
13381.3
TCGA-B0-5692-01A
66 years, female, white, stage:Stage III, alive, 3944 days
13367.6
TCGA-CJ-4876-01A
57 years, male, white, stage:Stage II, alive, 1955 days
13359.1
TCGA-B0-5108-01A
54 years, male, white, stage:Stage III, alive, 1782 days
13334.9
TCGA-B0-4821-01A
68 years, female, asian, stage:Stage III, dead, 1230 days
13243.2
TCGA-A3-3306-01A
67 years, male, white, stage:Stage I, alive, 1120 days
13237.4
TCGA-BP-4975-01A
40 years, male, white, stage:Stage I, alive, 1433 days
13224.2
TCGA-B0-5119-01A
61 years, female, white, stage:Stage I, alive, 1552 days
13205.4
TCGA-G6-A8L6-01A
55 years, male, black or african american, stage:Stage IV, dead, 313 days
13162.5
TCGA-BP-5195-01A
75 years, male, white, stage:Stage I, alive, 749 days
13113.6
TCGA-B8-A54I-01A
48 years, male, black or african american, stage:Stage I, alive, 150 days
13108.4
TCGA-CZ-4864-01A
86 years, male, white, stage:Stage II, dead, 1315 days
13092.7
TCGA-CZ-5468-01A
84 years, male, white, stage:Stage IV, dead, 59 days
13027.0
TCGA-G6-A5PC-01A
54 years, female, black or african american, stage:Stage IV, dead, 242 days
13025.8
TCGA-BP-5176-01A
78 years, female, white, stage:Stage I, dead, 1590 days
13017.7
TCGA-BP-5198-01A
72 years, male, white, stage:Stage III, alive, 603 days
12991.5
TCGA-B8-4148-01A
63 years, female, white, stage:Stage I, alive, 1520 days
12981.7
TCGA-DV-A4VZ-01A
53 years, male, black or african american, stage:Stage I, alive, 365 days
12937.4
TCGA-CJ-4918-01A
64 years, male, white, stage:Stage IV, dead, 93 days
12896.2
TCGA-CJ-4904-01A
60 years, female, white, stage:Stage IV, alive, 3302 days
12895.6
TCGA-BP-4995-01A
68 years, male, white, stage:Stage I, alive, 1371 days
12818.6
TCGA-CZ-5982-01A
59 years, female, white, stage:Stage I, alive, 2439 days
12799.8
TCGA-A3-3325-01A
52 years, male, white, stage:Stage I, dead, 1170 days
12753.5
TCGA-DV-A4VX-01A
59 years, male, black or african american, stage:Stage IV, dead, 1626 days
12729.4
TCGA-BP-4346-01A
57 years, male, white, stage:Stage III, dead, 1493 days
12574.4
TCGA-B8-4621-01A
63 years, male, black or african american, stage:Stage I, alive, 788 days
12564.1
TCGA-CJ-4878-01A
71 years, female, white, stage:Stage III, alive, 2186 days
12516.1
TCGA-AK-3461-01A
72 years, male, white, stage:Stage I, alive, 2217 days
12502.4
TCGA-BP-4345-01A
62 years, male, white, stage:Stage III, alive, 1516 days
12474.0
TCGA-A3-3378-01A
60 years, male, white, stage:Stage I, alive, 630 days
12473.4
TCGA-CJ-6032-01A
63 years, female, white, stage:Stage II, alive, 3639 days
12362.0
TCGA-CJ-4881-01A
41 years, male, white, stage:Stage III, alive, 2014 days
12361.0
TCGA-B2-4101-01A
52 years, male, white, stage:Stage II, alive, 648 days
12358.6
TCGA-CJ-4892-01A
65 years, female, white, stage:Stage I, alive, 1521 days
12292.2
TCGA-BP-4343-01A
64 years, male, white, stage:Stage III, dead, 1912 days
12289.2
TCGA-B8-4143-01A
66 years, female, white, stage:Stage IV, dead, 709 days
12258.0
TCGA-G6-A8L7-01A
81 years, female, black or african american, stage:Stage I, alive, 2133 days
12249.2
TCGA-B2-A4SR-01A
61 years, male, black or african american, stage:Stage II, alive, 507 days
12212.5
TCGA-B0-5705-01A
65 years, female, white, stage:Stage I, alive, 4537 days
12181.1
TCGA-B0-4693-01A
72 years, female, white, stage:Stage III, dead, 77 days
12154.0
TCGA-B0-4818-01A
68 years, female, white, stage:Stage II, dead, 510 days
12129.7
TCGA-B0-4836-01A
61 years, male, white, stage:Stage IV, dead, 1238 days
12080.7
TCGA-BP-4761-01A
57 years, male, white, stage:Stage III, alive, 182 days
12041.9
TCGA-CJ-5683-01A
78 years, male, white, stage:Stage I, alive, 1889 days
11931.0
TCGA-BP-4766-01A
43 years, female, white, stage:Stage I, alive, 1462 days
11855.9
TCGA-CJ-4900-01A
69 years, female, white, stage:Stage IV, dead, 1714 days
11823.9
TCGA-B0-5710-01A
57 years, male, white, stage:Stage I, alive, 2430 days
11780.2
TCGA-A3-3370-01A
48 years, female, white, stage:Stage I, alive, 2274 days
11758.8
TCGA-EU-5904-01A
47 years, female, white, stage:Stage I, alive, 551 days
11668.9
TCGA-A3-3343-01A
79 years, male, white, stage:Stage II, alive, 945 days
11657.7
TCGA-A3-3329-01A
75 years, male, white, stage:Stage I, alive, 1624 days
11634.5
TCGA-CJ-4874-01A
73 years, female, white, stage:Stage I, alive, 2283 days
11610.4
TCGA-BP-4170-01A
72 years, female, white, stage:Stage I, dead, 2343 days
11584.6
TCGA-B0-4823-01A
88 years, male, white, stage:Stage I, dead, 454 days
11571.8
TCGA-CJ-4905-01A
62 years, female, white, stage:Stage I, alive, 1496 days
11549.5
TCGA-BP-4351-01A
51 years, female, white, stage:Stage III, alive, 970 days
11549.1
TCGA-A3-3328-01A
79 years, male, white, stage:Stage I, alive, 1385 days
11507.0
TCGA-CJ-4869-01A
49 years, male, white, stage:Stage III, alive, 2554 days
11498.4
TCGA-A3-3359-01A
82 years, female, white, stage:Stage I, alive, 2504 days
11465.4
TCGA-B0-4827-01A
77 years, female, white, stage:Stage III, dead, 885 days
11412.2
TCGA-B0-5102-01A
74 years, female, white, stage:Stage I, dead, 2764 days
11364.3
TCGA-B0-5699-01A
53 years, male, white, stage:Stage I, alive, 3841 days
11357.9
TCGA-BP-4991-01A
54 years, male, white, stage:Stage I, alive, 1413 days
11271.7
TCGA-BP-5174-01A
45 years, female, white, stage:Stage I, alive, 2257 days
11245.0
TCGA-BP-4342-01A
79 years, male, white, stage:Stage II, dead, 2256 days
11240.0
TCGA-B0-5698-01A
77 years, male, black or african american, stage:Stage I, alive, 3631 days
11213.8
TCGA-CJ-4895-01A
62 years, male, white, stage:Stage IV, dead, 1200 days
11177.7
TCGA-AK-3427-01A
65 years, male, white, stage:Stage I, alive, 3583 days
11175.1
TCGA-B0-5690-01A
53 years, female, white, stage:Stage I, alive, 3392 days
11129.8
TCGA-DV-5568-01A
26 years, male, white, stage:Stage I, alive, 370 days
11127.5
TCGA-BP-5170-01A
55 years, male, white, stage:Stage I, alive, 2412 days
11065.3
TCGA-B8-A54J-01A
60 years, male, black or african american, stage:Stage II, alive, 528 days
11032.9
TCGA-BP-4961-01A
47 years, male, white, stage:Stage I, alive, 1935 days
11000.0
TCGA-BP-5192-01A
59 years, male, white, stage:Stage I, alive, 714 days
10989.0
TCGA-B2-3924-01A
73 years, male, white, stage:Stage I, alive, 1092 days
10979.1
TCGA-BP-5187-01A
54 years, male, white, stage:Stage I, alive, 406 days
10951.5
TCGA-T7-A92I-01A
47 years, female, black or african american, stage:Stage I, alive, 356 days
10890.9
TCGA-BP-4162-01A
65 years, female, white, stage:Stage I, alive, 3074 days
10880.1
TCGA-BP-4974-01A
58 years, male, white, stage:Stage IV, dead, 211 days
10850.0
TCGA-B0-5097-01A
59 years, female, white, stage:Stage III, alive, 665 days
10814.9
TCGA-B0-5712-01A
68 years, female, black or african american, stage:Stage IV, alive, 2722 days
10786.5
TCGA-BP-5173-01A
75 years, male, white, stage:Stage I, dead, 62 days
10614.3
TCGA-B0-4846-01A
52 years, male, white, stage:Stage IV, dead, 1200 days
10530.4
TCGA-CJ-4890-01A
72 years, male, white, stage:Stage IV, alive, 3519 days
10529.3
TCGA-B0-4700-01A
60 years, male, white, stage:Stage IV, dead, 1980 days
10488.1
TCGA-B2-5641-01A
79 years, male, white, stage:Stage I, alive, 656 days
10482.9
TCGA-A3-3365-01A
46 years, male, white, stage:Stage I, alive, 873 days
10464.4
TCGA-BP-4986-01A
75 years, male, white, stage:Stage I, alive, 785 days
10433.3
TCGA-CZ-5465-01A
76 years, female, stage:Stage III, dead, 2564 days
10411.4
TCGA-A3-3308-01A
77 years, female, white, stage:Stage III, alive, 16 days
10403.3
TCGA-CJ-4897-01A
79 years, female, white, stage:Stage III, alive, 3341 days
10362.8
TCGA-BP-4801-01A
57 years, male, white, stage:Stage I, alive, 1124 days
10353.0
TCGA-B0-5713-01A
75 years, female, white, stage:Stage III, alive, 2782 days
10335.6
TCGA-B0-4848-01A
54 years, male, white, stage:Stage III, dead, 883 days
10332.7
TCGA-BP-4998-01A
49 years, male, asian, stage:Stage I, alive, 932 days
10263.4
TCGA-B0-5697-01A
50 years, male, white, stage:Stage I, alive, 2630 days
10235.5
TCGA-CJ-4634-01A
60 years, female, white, stage:Stage I, alive, 3498 days
10135.2
TCGA-BP-5008-01A
46 years, male, white, stage:Stage I, alive, 1071 days
10109.6
TCGA-BP-4161-01A
74 years, male, white, stage:Stage I, alive, 2746 days
10106.4
TCGA-CW-5584-01A
74 years, male, white, stage:Stage III, dead, 164 days
10077.0
TCGA-B0-5701-01A
65 years, male, white, stage:Stage III, alive, 2461 days
10057.1
TCGA-BP-5202-01A
75 years, male, white, stage:Stage III, alive, 29 days
10053.7
TCGA-B0-5711-01A
50 years, male, white, stage:Stage III, alive, 3989 days
10040.1
TCGA-BP-4352-01A
74 years, female, white, stage:Stage IV, dead, 344 days
10001.9
TCGA-BP-5186-01A
50 years, female, white, stage:Stage I, alive, 693 days
9989.3
TCGA-B8-5165-01A
43 years, male, white, stage:Stage I, alive, 737 days
9935.5
TCGA-CZ-5458-01A
43 years, male, white, stage:Stage III, alive, 2789 days
9919.2
TCGA-AK-3429-01A
54 years, female, white, stage:Stage II, alive, 3328 days
9909.0
TCGA-B8-5550-01A
71 years, male, white, stage:Stage III, alive, 1476 days
9895.4
TCGA-CJ-4902-01A
61 years, male, white, stage:Stage III, alive, 1520 days
9893.8
TCGA-BP-4789-01A
48 years, male, white, stage:Stage I, alive, 1489 days
9889.9
TCGA-CZ-5457-01A
62 years, male, white, stage:Stage III, alive, 2754 days
9883.4
TCGA-DV-A4W0-01A
55 years, male, black or african american, stage:Stage I, alive, 2470 days
9840.6
TCGA-CJ-4643-01A
67 years, female, white, stage:Stage II, alive, 1793 days
9814.0
TCGA-B8-5549-01A
53 years, male, white, stage:Stage I, alive, 194 days
9790.3
TCGA-CJ-4894-01A
58 years, male, white, stage:Stage III, dead, 841 days
9753.3
TCGA-CJ-4637-01A
52 years, female, white, stage:Stage IV, dead, 2227 days
9740.3
TCGA-CJ-4870-01A
58 years, female, black or african american, stage:Stage III, alive, 1498 days
9712.3
TCGA-6D-AA2E-01A
68 years, female, black or african american, stage:Stage I, alive, 362 days
9654.6
TCGA-B0-5110-01A
71 years, female, white, stage:Stage I, alive, 2009 days
9639.9
TCGA-CZ-5452-01A
69 years, male, white, stage:Stage II, alive, 1789 days
9639.4
TCGA-A3-A6NJ-01A
57 years, female, black or african american, stage:Stage I, alive, 468 days
9611.0
TCGA-B0-5094-01A
62 years, male, white, stage:Stage IV, dead, 333 days
9595.4
TCGA-BP-5183-01A
57 years, male, white, stage:Stage III, alive, 1291 days
9560.1
TCGA-CJ-4886-01A
42 years, female, white, stage:Stage I, alive, 1952 days
9538.4
TCGA-CZ-5451-01A
74 years, male, white, stage:Stage II, alive, 1929 days
9520.8
TCGA-BP-4330-01A
60 years, female, black or african american, stage:Stage III, alive, 1888 days
9497.3
TCGA-BP-4344-01A
75 years, female, white, stage:Stage I, alive, 1666 days
9461.9
TCGA-B4-5835-01A
64 years, female, white, stage:Stage I, alive, 16 days
9453.5
TCGA-B0-5696-01A
69 years, male, white, stage:Stage III, alive, 2609 days
9407.8
TCGA-B0-5096-01A
72 years, female, white, stage:Stage III, dead, 68 days
9385.2
TCGA-CJ-4871-01A
63 years, male, white, stage:Stage IV, alive, 2423 days
9338.6
TCGA-B0-5113-01A
69 years, female, white, stage:Stage III, alive, 1175 days
9338.4
TCGA-CW-6093-01A
73 years, male, white, stage:Stage I, alive, 3146 days
9319.8
TCGA-B0-5700-01A
77 years, male, white, stage:Stage I, alive, 1790 days
9316.0
TCGA-BP-5181-01A
58 years, female, white, stage:Stage I, alive, 1495 days
9260.8
TCGA-BP-4763-01A
79 years, female, white, stage:Stage I, dead, 1270 days
9223.9
TCGA-DV-5569-01A
29 years, female, white, stage:Stage I, alive, 355 days
9221.0
TCGA-CZ-5984-01A
51 years, male, white, stage:Stage I, alive, 2067 days
9207.9
TCGA-CJ-4907-01A
58 years, male, white, stage:Stage III, alive, 1499 days
9128.0
TCGA-B0-4690-01A
65 years, male, white, stage:Stage IV, dead, 43 days
9120.6
TCGA-A3-3362-01A
60 years, female, white, stage:Stage I, alive, 1559 days
9114.1
TCGA-B0-4814-01A
58 years, male, white, stage:Stage IV, dead, 168 days
9081.2
TCGA-BP-4340-01A
70 years, female, white, stage:Stage I, dead, 562 days
9048.7
TCGA-B4-5844-01A
61 years, female, white, stage:Stage II, alive, 7 days
8970.2
TCGA-B0-5812-01A
53 years, male, white, stage:Stage I, alive, 3834 days
8964.1
TCGA-BP-4782-01A
55 years, female, white, stage:Stage I, alive, 354 days
8963.0
TCGA-BP-5182-01A
56 years, male, white, stage:Stage I, alive, 1165 days
8930.4
TCGA-DV-5566-01A
67 years, female, white, stage:Stage I, alive, 1398 days
8882.7
TCGA-B0-5400-01A
59 years, female, white, stage:Stage III, alive, 1733 days
8878.2
TCGA-BP-4163-01A
60 years, female, white, stage:Stage III, alive, 2839 days
8852.3
TCGA-B0-5399-01A
46 years, male, white, stage:Stage I, alive, 1411 days
8830.5
TCGA-AK-3425-01A
68 years, male, white, stage:Stage I, alive, 3343 days
8806.3
TCGA-CW-5587-01A
62 years, female, white, stage:Stage III, alive, 2226 days
8787.9
TCGA-CZ-5466-01A
67 years, male, stage:Stage III, alive, 685 days
8781.4
TCGA-BP-4326-01A
53 years, female, white, stage:Stage I, dead, 1625 days
8780.2
TCGA-B4-5843-01A
45 years, male, white, stage:Stage I, alive, 11 days
8749.2
TCGA-DV-5573-01A
41 years, male, white, stage:Stage I, alive, 1130 days
8704.2
TCGA-A3-3347-01A
76 years, female, white, stage:Stage III, dead, 1610 days
8670.3
TCGA-A3-A8OV-01A
75 years, male, black or african american, stage:Stage I, alive, 340 days
8636.7
TCGA-DV-5575-01A
52 years, female, white, stage:Stage I, alive, 1729 days
8629.7
TCGA-B0-5107-01A
65 years, female, white, stage:Stage IV, dead, 927 days
8609.7
TCGA-BP-5184-01A
54 years, male, white, stage:Stage I, alive, 1133 days
8609.3
TCGA-B4-5838-01A
52 years, male, white, stage:'--, alive, 166 days
8586.3
TCGA-BP-4160-01A
67 years, male, white, stage:Stage III, alive, 2881 days
8534.9
TCGA-BP-5189-01A
60 years, male, white, stage:Stage I, dead, 822 days
8533.8
TCGA-B0-4810-01A
47 years, male, white, stage:Stage III, dead, 478 days
8391.2
TCGA-CZ-5986-01A
61 years, male, white, stage:Stage I, alive, 373 days
8374.9
TCGA-A3-3307-01A
66 years, male, stage:Stage III, alive, 1436 days
8334.1
TCGA-MW-A4EC-01A
72 years, female, black or african american, stage:Stage I, alive, 498 days
8317.3
TCGA-CJ-5678-01A
62 years, male, black or african american, stage:Stage IV, dead, 574 days
8117.1
TCGA-BP-4807-01A
42 years, male, white, stage:Stage I, alive, 211 days
8109.5
TCGA-B0-4815-01A
65 years, male, white, stage:Stage III, dead, 1588 days
8095.1
TCGA-CJ-4639-01A
49 years, female, white, stage:Stage II, alive, 3229 days
8094.7
TCGA-CJ-5677-01A
54 years, female, white, stage:Stage IV, dead, 782 days
8086.2
TCGA-A3-A6NN-01A
78 years, male, black or african american, stage:Stage I, alive, 3 days
8015.3
TCGA-B8-5159-01A
61 years, female, white, stage:Stage I, alive, 722 days
8014.7
TCGA-B0-4699-01A
74 years, male, white, stage:Stage IV, dead, 110 days
8012.9
TCGA-CJ-4644-01A
48 years, female, white, stage:Stage IV, dead, 336 days
7969.3
TCGA-B2-4102-01A
61 years, male, white, stage:Stage I, alive, 952 days
7938.4
TCGA-CZ-4859-01A
59 years, female, white, stage:Stage I, alive, 1787 days
7931.9
TCGA-BP-4765-01A
43 years, male, white, stage:Stage I, alive, 2184 days
7927.7
TCGA-CJ-4640-01A
49 years, male, white, stage:Stage III, alive, 3480 days
7863.6
TCGA-B0-5120-01A
72 years, female, white, stage:Stage I, alive, 1169 days
7822.7
TCGA-A3-3363-01A
50 years, male, asian, stage:Stage II, alive, 319 days
7774.1
TCGA-B0-5100-01A
72 years, male, black or african american, stage:Stage III, dead, 1913 days
7770.1
TCGA-B8-5158-01A
56 years, male, white, stage:Stage III, alive, 1218 days
7740.4
TCGA-CJ-4868-01A
42 years, male, white, stage:Stage IV, dead, 646 days
7740.1
TCGA-CJ-6030-01A
65 years, male, white, stage:Stage I, dead, 2299 days
7713.1
TCGA-CJ-4641-01A
55 years, female, white, stage:Stage IV, dead, 1661 days
7676.3
TCGA-B0-5109-01A
69 years, male, white, stage:Stage III, dead, 587 days
7648.9
TCGA-BP-4970-01A
44 years, male, asian, stage:Stage III, alive, 433 days
7647.2
TCGA-B0-4697-01A
46 years, female, white, stage:Stage IV, dead, 578 days
7623.6
TCGA-B8-A54H-01A
69 years, female, black or african american, stage:Stage II, alive, 256 days
7614.4
TCGA-CZ-4866-01A
79 years, female, white, stage:Stage I, alive, 3267 days
7590.4
TCGA-A3-A8OW-01A
37 years, male, black or african american, stage:Stage III, alive, 323 days
7562.9
TCGA-B0-5693-01A
47 years, female, white, stage:Stage I, alive, 4074 days
7506.6
TCGA-CW-5588-01A
78 years, female, white, stage:Stage I, alive, 2017 days
7449.0
TCGA-B8-4151-01A
51 years, female, white, stage:Stage III, alive, 1299 days
7420.1
TCGA-BP-4331-01A
52 years, male, white, stage:Stage I, dead, 2454 days
7407.0
TCGA-CW-5580-01A
73 years, female, white, stage:Stage IV, dead, 1964 days
7356.0
TCGA-A3-3376-01A
51 years, male, black or african american, stage:Stage I, dead, 1696 days
7329.7
TCGA-DV-5574-01A
37 years, male, white, stage:Stage I, alive, 2016 days
7306.0
TCGA-EU-5907-01A
81 years, male, white, stage:Stage III, alive, 127 days
7208.1
TCGA-CJ-5686-01A
59 years, female, white, stage:Stage I, alive, 2038 days
7205.1
TCGA-B0-4694-01A
72 years, male, white, stage:Stage III, dead, 106 days
7197.5
TCGA-BP-5199-01A
58 years, male, white, stage:Stage II, alive, 1355 days
7142.9
TCGA-B0-4710-01A
75 years, female, white, stage:Stage III, alive, 1755 days
7141.2
TCGA-BP-4982-01A
42 years, male, white, stage:Stage I, alive, 1014 days
7089.1
TCGA-AK-3431-01A
62 years, female, white, stage:Stage II, dead, 2241 days
7081.9
TCGA-BP-4781-01A
78 years, male, white, stage:Stage I, alive, 2080 days
7081.4
TCGA-B0-4712-01A
76 years, male, white, stage:Stage IV, dead, 1337 days
7048.2
TCGA-BP-4169-01A
76 years, female, white, stage:Stage II, dead, 701 days
7031.8
TCGA-B0-4816-01A
49 years, male, white, stage:Stage II, dead, 1371 days
7028.1
TCGA-BP-4353-01A
61 years, male, white, stage:Stage I, dead, 375 days
7027.0
TCGA-B8-5164-01A
65 years, male, white, stage:Stage III, alive, 26 days
7020.5
TCGA-CW-5589-01A
52 years, male, white, stage:Stage I, alive, 2378 days
7007.7
TCGA-B0-4688-01A
46 years, male, white, stage:Stage IV, dead, 101 days
6998.1
TCGA-B0-5707-01A
39 years, female, white, stage:Stage I, alive, 3744 days
6992.8
TCGA-CZ-4862-01A
46 years, male, white, stage:Stage I, alive, 3271 days
6975.9
TCGA-CZ-5456-01A
57 years, male, white, stage:Stage II, alive, 2422 days
6969.5
TCGA-A3-A8CQ-01A
59 years, female, black or african american, stage:Stage I, alive, 3 days
6927.3
TCGA-DV-5576-01A
55 years, female, black or african american, stage:Stage I, dead, 727 days
6925.8
TCGA-B8-5546-01A
38 years, female, black or african american, stage:Stage I, alive, 505 days
6921.8
TCGA-CJ-5675-01A
70 years, male, white, stage:Stage II, alive, 3936 days
6883.4
TCGA-CZ-5470-01A
72 years, female, stage:Stage II, alive, 386 days
6862.3
TCGA-B8-A54F-01A
49 years, female, black or african american, stage:Stage I, alive, 519 days
6847.9
TCGA-CJ-4889-01A
63 years, female, white, stage:Stage I, alive, 1946 days
6814.3
TCGA-BP-4965-01A
46 years, male, white, stage:Stage I, alive, 1871 days
6750.2
TCGA-CW-5585-01A
51 years, male, white, stage:Stage IV, alive, 2609 days
6715.5
TCGA-CZ-5988-01A
38 years, male, white, stage:Stage I, alive, 693 days
6677.1
TCGA-AK-3445-01A
69 years, male, white, stage:Stage III, alive, 2392 days
6633.1
TCGA-B0-5098-01A
53 years, female, black or african american, stage:Stage I, dead, 1584 days
6579.5
TCGA-A3-3351-01A
42 years, male, white, stage:Stage II, alive, 910 days
6564.6
TCGA-CZ-4858-01A
39 years, male, white, stage:Stage II, dead, 2105 days
6503.5
TCGA-BP-4976-01A
77 years, male, white, stage:Stage I, alive, 1632 days
6487.2
TCGA-CJ-4899-01A
42 years, male, asian, stage:Stage I, alive, 1528 days
6476.0
TCGA-CJ-6033-01A
54 years, female, white, stage:Stage IV, dead, 224 days
6471.4
TCGA-B0-5695-01A
61 years, female, white, stage:Stage I, alive, 2150 days
6461.2
TCGA-AK-3455-01A
71 years, female, white, stage:Stage III, dead, 683 days
6456.4
TCGA-CZ-5459-01A
63 years, male, white, stage:Stage III, alive, 1683 days
6455.9
TCGA-B4-5377-01A
68 years, female, white, stage:Stage IV, alive, 365 days
6427.4
TCGA-CZ-5985-01A
58 years, male, white, stage:Stage II, alive, 1997 days
6414.2
TCGA-3Z-A93Z-01A
69 years, male, black or african american, stage:Stage I, alive, 385 days
6354.6
TCGA-B2-4099-01A
83 years, male, white, stage:Stage I, alive, 972 days
6337.3
TCGA-CZ-5467-01A
86 years, female, white, stage:Stage III, dead, 73 days
6243.6
TCGA-CZ-5455-01A
63 years, male, white, stage:Stage IV, dead, 561 days
6238.2
TCGA-B8-A54G-01A
50 years, male, black or african american, stage:Stage I, alive, 53 days
6226.2
TCGA-AK-3458-01A
48 years, male, white, stage:Stage I, alive, 1168 days
6206.5
TCGA-B0-5095-01A
81 years, male, white, stage:Stage III, dead, 245 days
6166.5
TCGA-AK-3451-01A
48 years, male, white, stage:Stage II, alive, 2868 days
6112.4
TCGA-CJ-5680-01A
65 years, female, white, stage:Stage IV, dead, 768 days
6096.5
TCGA-B8-A54K-01A
61 years, male, black or african american, stage:Stage I, alive, 469 days
6034.4
TCGA-A3-3383-01A
52 years, male, white, stage:Stage I, alive, 861 days
6015.2
TCGA-CW-6087-01A
61 years, male, white, stage:Stage IV, dead, 41 days
5959.7
TCGA-B4-5834-01A
59 years, male, white, stage:Stage I, alive, 38 days
5954.0
TCGA-AK-3436-01A
40 years, male, white, stage:Stage IV, alive, 3331 days
5942.5
TCGA-BP-4173-01A
47 years, male, white, stage:Stage II, alive, 1893 days
5927.8
TCGA-BP-4354-01A
40 years, male, white, stage:Stage IV, dead, 1034 days
5870.8
TCGA-BP-4795-01A
74 years, female, white, stage:Stage I, alive, 620 days
5867.7
TCGA-CW-6088-01A
60 years, male, white, stage:Stage I, alive, 3222 days
5852.3
TCGA-A3-3349-01A
34 years, female, white, stage:Stage I, alive, 1385 days
5765.3
TCGA-B0-5691-01A
66 years, female, white, stage:Stage I, alive, 3431 days
5626.8
TCGA-B4-5836-01A
61 years, female, white, stage:Stage I, alive, 141 days
5570.4
TCGA-CZ-4863-01A
51 years, female, white, stage:Stage III, alive, 1928 days
5524.6
TCGA-A3-A6NI-01A
47 years, male, black or african american, stage:Stage I, alive, 1018 days
5463.6
TCGA-AS-3778-01A
35 years, male, white, stage:Stage I, alive, 43 days
5378.6
TCGA-BP-4983-01A
67 years, female, asian, stage:Stage III, alive, 1413 days
5371.5
TCGA-BP-4762-01A
42 years, male, white, stage:Stage I, dead, 1343 days
5339.0
TCGA-CW-5581-01A
44 years, male, white, stage:Stage I, alive, 2799 days
5133.3
TCGA-BP-4769-01A
63 years, male, white, stage:Stage I, alive, 1876 days
5073.2
TCGA-B8-5163-01A
63 years, female, white, stage:Stage III, alive, 822 days
5067.0
TCGA-CW-5583-01A
51 years, female, white, stage:Stage I, alive, 2489 days
5005.7
TCGA-B8-4154-01A
73 years, female, white, stage:Stage I, alive, 1380 days
5003.0
TCGA-EU-5906-01A
55 years, male, white, stage:Stage I, alive, 206 days
4947.7
TCGA-B4-5378-01A
62 years, male, white, stage:Stage I, alive, 175 days
4918.8
TCGA-B0-4703-01A
51 years, male, white, stage:Stage IV, dead, 182 days
4916.0
TCGA-CW-5591-01A
56 years, male, white, stage:Stage IV, alive, 2271 days
4911.9
TCGA-CZ-4865-01A
70 years, female, white, stage:Stage I, dead, 166 days
4792.9
TCGA-BP-5196-01A
53 years, male, white, stage:Stage I, alive, 1018 days
4744.6
TCGA-AK-3450-01A
85 years, female, white, stage:Stage I, alive, 1508 days
4729.2
TCGA-BP-4174-01A
49 years, male, white, stage:Stage II, alive, 1879 days
4720.9
TCGA-B0-5080-01A
63 years, male, white, stage:Stage IV, dead, 342 days
4629.4
TCGA-A3-3387-01A
49 years, male, white, stage:Stage I, alive, 617 days
4581.8
TCGA-A3-3346-01A
68 years, male, white, stage:Stage I, dead, 137 days
4547.4
TCGA-BP-4177-01A
65 years, male, white, stage:Stage I, alive, 1670 days
4437.2
TCGA-AK-3428-01A
62 years, male, white, stage:Stage III, alive, 3728 days
4416.7
TCGA-B8-A7U6-01A
54 years, female, black or african american, stage:Stage I, alive, 495 days
4391.0
TCGA-GK-A6C7-01A
76 years, female, black or african american, stage:Stage I, alive, 61 days
4335.5
TCGA-B0-5709-01A
62 years, female, white, stage:Stage III, alive, 3974 days
4195.2
TCGA-B8-5553-01A
67 years, female, white, stage:Stage I, alive, 435 days
4122.2
TCGA-CJ-5681-01A
44 years, female, white, stage:Stage IV, dead, 552 days
4122.0
TCGA-EU-5905-01A
67 years, female, white, stage:Stage I, alive, 119 days
4092.1
TCGA-B8-A8YJ-01A
60 years, female, black or african american, stage:Stage I, alive, 431 days
4090.2
TCGA-A3-A6NL-01A
49 years, female, black or african american, stage:Stage I, alive, 689 days
4066.1
TCGA-B8-5545-01A
42 years, male, black or african american, stage:Stage I, alive, 1525 days
4063.4
TCGA-BP-4760-01A
69 years, male, black or african american, stage:Stage I, alive, 2361 days
3940.6
TCGA-CW-6090-01A
68 years, male, white, stage:Stage I, alive, 2552 days
3879.9
TCGA-BP-4784-01A
67 years, female, white, stage:Stage I, alive, 1854 days
3830.6
TCGA-DV-5567-01A
40 years, female, black or african american, stage:Stage I, alive, 2004 days
3651.5
TCGA-B0-4698-01A
75 years, male, white, stage:Stage IV, dead, 42 days
3436.5
TCGA-B0-4696-01A
58 years, male, white, stage:Stage III, dead, 866 days
3364.8
TCGA-CW-6097-01A
32 years, male, white, stage:Stage III, dead, 571 days
3321.0
TCGA-CZ-5462-01A
83 years, male, white, stage:Stage IV, dead, 311 days
3226.7
TCGA-BP-4770-01A
73 years, female, white, stage:Stage IV, dead, 329 days
3063.8
TCGA-B0-5706-01A
45 years, male, white, stage:Stage II, alive, 3205 days
2952.6
TCGA-B8-5162-01A
62 years, male, white, stage:Stage II, alive, 36 days
1726.4
TCGA-B8-5551-01A
65 years, female, black or african american, stage:Stage I, alive, 16 days
1721.8
TCGA-CZ-4860-01A
60 years, male, white, stage:Stage IV, dead, 206 days
1641.8
TCGA-B2-5636-01A
79 years, male, white, stage:Stage I, alive, 919 days
1564.4
TCGA-A3-3382-01A
69 years, male, white, stage:Stage I, alive, 574 days
1302.1
TCGA-B0-5702-01A
71 years, male, white, stage:Stage I, alive, 2172 days
392.1
TCGA-B2-5635-01A
74 years, male, white, stage:Stage I, alive, 755 days
35.3
TCGA-B2-5633-01A
56 years, male, white, stage:Stage I, alive, 963 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-ND2 is not prognostic in Kidney Renal Clear Cell Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
10309.0
Number of samples
100
Samples
Sample
Description
pTPM
ccRCC-78
70 years, female, NA, stage:pT1aN0M0, alive, 2610 days
37718.7
ccRCC-36
59 years, male, NA, stage:pT2N0M0, alive, 1410 days
33596.7
ccRCC-37
73 years, female, NA, stage:pT1aN0M0, alive, 1500 days
28998.8
ccRCC-43
55 years, female, NA, stage:pT1bN0M0, alive, 1050 days
26301.0
ccRCC-9
75 years, male, NA, stage:pT2N1M1, dead, 360 days
22479.8
ccRCC-53
69 years, male, NA, stage:pT1aN0M0, alive, 1260 days
22084.2
ccRCC-34
65 years, male, NA, stage:pT3bN0M1, alive, 1530 days
21194.6
ccRCC-56
78 years, male, NA, stage:pT1aN0M0, alive, 1950 days
18783.3
ccRCC-2
71 years, male, NA, stage:pT1aN0M1, dead, 2190 days
18318.2
ccRCC-49
64 years, male, NA, stage:pT3bN0M0, alive, 1290 days
18003.9
ccRCC-68
69 years, male, NA, stage:pT1bN0M0, alive, 2640 days
17575.6
ccRCC-82
53 years, male, NA, stage:pT1aN0M0, alive, 3090 days
16383.8
ccRCC-23
72 years, male, NA, stage:pT1bN0M0, alive, 1170 days
15621.1
ccRCC-88
64 years, male, NA, stage:pT1aN0M0, alive, 2880 days
15592.3
ccRCC-22
64 years, male, NA, stage:pT3bN0M0, dead, 330 days
15012.3
ccRCC-21
70 years, male, NA, stage:pT1bN0M0, alive, 1080 days
14491.2
ccRCC-96
52 years, male, NA, stage:pT1aN0M0, alive, 3930 days
14158.0
ccRCC-28
59 years, male, NA, stage:pT1bN0M0, alive, 1530 days
13962.0
ccRCC-12
80 years, male, NA, stage:pT1aN0M0, alive, 900 days
13957.7
ccRCC-4
82 years, male, NA, stage:pT1bN0M0, dead, 270 days
13880.0
ccRCC-106
58 years, male, NA, stage:pT1aN0M0, dead, 1890 days
13486.3
ccRCC-38
60 years, male, NA, stage:pT1aN0M0, alive, 1380 days
13359.9
ccRCC-83
72 years, male, NA, stage:pT1aN0M0, alive, 300 days
13309.9
ccRCC-75
58 years, male, NA, stage:pT3aN1M1, dead, 180 days
13176.8
ccRCC-39
73 years, male, NA, stage:pT2N0M0, alive, 900 days
13094.5
ccRCC-69
80 years, male, NA, stage:pT1aN0M0, alive, 2670 days
12750.0
ccRCC-42
73 years, male, NA, stage:pT3aN0M0, alive, 1170 days
12455.4
ccRCC-45
61 years, male, NA, stage:pT1aN0M0, alive, 1020 days
12265.2
ccRCC-76
81 years, female, NA, stage:pT3aN0M1, dead, 960 days
12244.0
ccRCC-59
56 years, male, NA, stage:pT1bN0M0, alive, 930 days
12204.4
ccRCC-73
56 years, male, NA, stage:pT1aN0M0, alive, 2640 days
11786.8
ccRCC-6
75 years, male, NA, stage:pT1bN0M0, alive, 2820 days
11501.3
ccRCC-14
58 years, male, NA, stage:pT3cN0M0, alive, 2280 days
11424.6
ccRCC-3
71 years, male, NA, stage:pT3bN1M0, dead, 240 days
11357.6
ccRCC-81
73 years, male, NA, stage:pT3aN2M0, dead, 1290 days
11114.0
ccRCC-40
65 years, male, NA, stage:pT1aN0M0, alive, 1020 days
11084.1
ccRCC-32
55 years, male, NA, stage:pT2N0M0, dead, 1320 days
10822.0
ccRCC-8
73 years, male, NA, stage:pT1bN0M0, alive, 2400 days
10548.6
ccRCC-89
59 years, male, NA, stage:pT1aN0M0, alive, 3510 days
10516.7
ccRCC-26
51 years, male, NA, stage:pT1bN0M0, alive, 1800 days
10419.5
ccRCC-105
59 years, male, NA, stage:pT1aN0M0, alive, 2190 days
10335.1
ccRCC-25
65 years, male, NA, stage:pT1aN0M0, alive, 1350 days
10238.3
ccRCC-64
58 years, male, NA, stage:pT3aN0M0, alive, 2430 days
9857.3
ccRCC-72
35 years, male, NA, stage:pT1bN0M0, alive, 2760 days
9767.4
ccRCC-77
41 years, male, NA, stage:pT1bN0M0, alive, 1860 days
9693.1
ccRCC-91
67 years, male, NA, stage:pT1aN0M0, dead, 1890 days
9616.8
ccRCC-17
54 years, female, NA, stage:pT1bN0M0, alive, 2220 days
9460.4
ccRCC-100
65 years, male, NA, stage:pT1aN0M0, alive, 4260 days
9326.0
ccRCC-94
69 years, male, NA, stage:pT1bN0M0, dead, 480 days
9141.3
ccRCC-35
67 years, male, NA, stage:pT1aN0M0, alive, 1380 days
8843.0
ccRCC-67
59 years, male, NA, stage:pT1aN0M0, dead, 1260 days
8774.6
ccRCC-61
56 years, male, NA, stage:pT1aN0M0, alive, 1470 days
8516.8
ccRCC-99
60 years, female, NA, stage:pT2N0M0, alive, 3330 days
8489.2
ccRCC-31
75 years, male, NA, stage:pT1aN0M0, alive, 1560 days
8352.1
ccRCC-103
55 years, female, NA, stage:pT1aN0M0, alive, 4350 days
8318.1
ccRCC-84
69 years, male, NA, stage:pT1bN0M0, alive, 2010 days
8088.1
ccRCC-10
76 years, male, NA, stage:pT3aN2M1, dead, 90 days
7893.2
ccRCC-13
44 years, female, NA, stage:pT3aN2M0, dead, 540 days
7796.5
ccRCC-102
53 years, male, NA, stage:pT1bN0M0, alive, 4260 days
7739.4
ccRCC-90
72 years, male, NA, stage:pT1aN0M0, dead, 1170 days
7671.4
ccRCC-58
62 years, male, NA, stage:pT1aN0M0, alive, 1110 days
7474.9
ccRCC-86
74 years, female, NA, stage:pT1bN0M0, alive, 3390 days
7446.4
ccRCC-48
42 years, male, NA, stage:pT1bN0M0, alive, 990 days
7347.4
ccRCC-7
87 years, female, NA, stage:pT2N0M0, alive, 330 days
7056.4
ccRCC-20
56 years, female, NA, stage:pT3aN0M1, alive, 930 days
7024.5
ccRCC-92
59 years, male, NA, stage:pT1aN0M0, alive, 3660 days
6976.2
ccRCC-85
73 years, female, NA, stage:pT1bN0M0, alive, 3330 days
6967.9
ccRCC-93
60 years, male, NA, stage:pT1bN0M0, alive, 3660 days
6729.1
ccRCC-51
70 years, male, NA, stage:pT3aN0M0, alive, 1410 days
6591.8
ccRCC-52
66 years, female, NA, stage:pT3bN0M1, alive, 1350 days
6573.0
ccRCC-79
35 years, male, NA, stage:pT1bN0M0, alive, 2670 days
6439.5
ccRCC-70
70 years, male, NA, stage:pT4N0M1, dead, 540 days
6340.5
ccRCC-54
57 years, male, NA, stage:pT1bN0M0, alive, 1200 days
6302.4
ccRCC-104
52 years, female, NA, stage:pT1aN0M0, alive, 3480 days
6275.8
ccRCC-5
77 years, male, NA, stage:pT1aN0M0, alive, 2940 days
6259.7
ccRCC-41
82 years, male, NA, stage:pT3bN0M0, dead, 540 days
6252.6
ccRCC-15
65 years, female, NA, stage:pT2N0M0, dead, 2070 days
6236.0
ccRCC-11
76 years, male, NA, stage:pT1aN0M0, alive, 2370 days
6094.4
ccRCC-80
70 years, male, NA, stage:pT2N0M0, alive, 3000 days
5936.7
ccRCC-60
78 years, female, NA, stage:pT1aN0M0, alive, 1470 days
5917.5
ccRCC-44
56 years, female, NA, stage:pT1bN0M0, alive, 1050 days
5914.7
ccRCC-46
61 years, male, NA, stage:pT1bN0M0, alive, 990 days
5909.1
ccRCC-71
72 years, male, NA, stage:pT1bN0M0, alive, 2160 days
5869.8
ccRCC-1
58 years, female, NA, stage:pT1bN0M0, alive, 3330 days
5854.3
ccRCC-16
48 years, male, NA, stage:pT2N0M0, alive, 2190 days
5758.3
ccRCC-27
56 years, male, NA, stage:pT1aN0M0, alive, 1590 days
5566.5
ccRCC-97
40 years, male, NA, stage:pT1aN2M1, dead, 990 days
5398.9
ccRCC-66
73 years, female, NA, stage:pT3bN0M1, alive, 2520 days
5006.4
ccRCC-98
54 years, male, NA, stage:pT1aN0M0, alive, 30 days
4793.4
ccRCC-18
56 years, female, NA, stage:pT1aN0M0, alive, 2130 days
4761.7
ccRCC-24
91 years, male, NA, stage:pT3bN0M0, dead, 750 days
4751.5
ccRCC-29
73 years, female, NA, stage:pT1aN0M0, alive, 1710 days
4693.2
ccRCC-87
40 years, male, NA, stage:pT1bN0M0, alive, 2370 days
4242.2
ccRCC-95
59 years, male, NA, stage:pT1bN0M0, alive, 3960 days
4046.0
ccRCC-65
63 years, male, NA, stage:pT3bN0M1, dead, 300 days
3606.5
ccRCC-19
39 years, female, NA, stage:pT2N0M0, alive, 2100 days
3088.3
ccRCC-55
58 years, female, NA, stage:pT3bN0M0, alive, 1260 days
2926.3
ccRCC-62
78 years, male, NA, stage:pT1bN0M0, alive, 1620 days
915.7
ccRCC-50
68 years, male, NA, stage:pT3bN0M0, alive, 900 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-ND2 is not prognostic in Kidney Renal Papillary Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
10421.4
Number of samples
282
Samples
Sample
Description
pTPM
TCGA-HE-A5NI-01A
73 years, male, stage:Stage I, alive, 360 days
50078.0
TCGA-G7-6795-01A
56 years, male, white, stage:Stage I, alive, 1194 days
38797.5
TCGA-B9-4617-01A
41 years, male, black or african american, stage:'--, alive, 35 days
36598.8
TCGA-WN-AB4C-01A
60 years, female, white, stage:Stage I, alive, 1188 days
36185.7
TCGA-J7-A8I2-01A
75 years, male, asian, stage:Stage I, alive, 307 days
33572.2
TCGA-G7-A8LB-01A
70 years, male, white, stage:Stage IV, alive, 547 days
33484.1
TCGA-BQ-7058-01A
81 years, male, white, stage:Stage III, dead, 343 days
31088.9
TCGA-AL-3466-01A
41 years, male, white, stage:Stage IV, dead, 293 days
30058.8
TCGA-B9-A44B-01A
70 years, male, black or african american, stage:Stage III, alive, 361 days
26161.6
TCGA-5P-A9K2-01A
62 years, male, white, stage:'--, alive, 2392 days
25662.4
TCGA-HE-A5NJ-01A
58 years, male, stage:'--, alive, 1726 days
25585.6
TCGA-B1-A47N-01A
62 years, male, white, stage:Stage I, alive, 1110 days
24773.6
TCGA-5P-A9KH-01A
77 years, male, white, stage:'--, alive, 2051 days
24282.7
TCGA-A4-A5DU-01A
45 years, female, white, stage:Stage I, alive, 496 days
24228.1
TCGA-A4-8517-01A
71 years, male, white, stage:Stage I, alive, 597 days
24024.8
TCGA-AL-3468-01A
74 years, male, white, stage:Stage II, dead, 2331 days
23993.4
TCGA-BQ-5880-01A
79 years, male, white, stage:Stage III, dead, 1314 days
22299.6
TCGA-SX-A71R-01A
51 years, male, white, stage:Stage I, alive, 1457 days
22188.5
TCGA-A4-8311-01A
60 years, male, white, stage:Stage I, alive, 729 days
21706.9
TCGA-BQ-7056-01A
75 years, female, white, stage:Stage III, alive, 612 days
21691.1
TCGA-AT-A5NU-01A
77 years, male, white, stage:Stage I, alive, 67 days
21449.2
TCGA-A4-8518-01A
48 years, male, white, stage:Stage I, alive, 600 days
21062.5
TCGA-WN-A9G9-01A
55 years, male, white, stage:Stage I, alive, 791 days
20969.6
TCGA-HE-A5NK-01A
82 years, male, stage:'--, alive, 2228 days
20491.6
TCGA-AL-3472-01A
57 years, male, black or african american, stage:'--, alive, 2029 days
20349.8
TCGA-AL-3471-01A
74 years, male, white, stage:Stage I, dead, 1500 days
20309.1
TCGA-BQ-5886-01A
75 years, male, white, stage:Stage III, alive, 792 days
20161.4
TCGA-SX-A7SS-01A
67 years, male, white, stage:Stage I, alive, 1615 days
19952.5
TCGA-B9-4113-01A
64 years, male, black or african american, stage:Stage I, dead, 1536 days
19593.1
TCGA-DW-7840-01A
60 years, male, black or african american, stage:Stage I, alive, 114 days
18398.2
TCGA-UZ-A9Q1-01A
88 years, female, white, stage:Stage I, alive, 730 days
18295.1
TCGA-HE-A5NL-01A
51 years, male, stage:Stage I, alive, 767 days
18247.4
TCGA-BQ-7044-01A
73 years, male, white, stage:Stage III, alive, 3760 days
18183.4
TCGA-MH-A55W-01A
50 years, male, black or african american, stage:Stage I, alive, 1043 days
17429.1
TCGA-2Z-A9JO-01A
56 years, female, black or african american, stage:Stage I, alive, 949 days
17357.6
TCGA-HE-A5NF-01A
58 years, male, stage:Stage I, alive, 2582 days
17351.0
TCGA-DW-5561-01A
51 years, male, black or african american, stage:Stage I, alive, 414 days
17149.2
TCGA-A4-A5XZ-01A
65 years, female, white, stage:Stage II, alive, 479 days
17108.3
TCGA-Y8-A8RY-01A
63 years, male, white, stage:Stage I, alive, 769 days
16961.9
TCGA-SX-A7SM-01A
60 years, male, black or african american, stage:Stage IV, dead, 363 days
16739.7
TCGA-UZ-A9PX-01A
73 years, male, white, stage:Stage I, alive, 1981 days
16737.2
TCGA-BQ-5885-01A
63 years, male, white, stage:Stage III, alive, 921 days
16693.5
TCGA-5P-A9K3-01A
59 years, male, white, stage:'--, dead, 471 days
16648.3
TCGA-B9-A8YI-01A
79 years, male, black or african american, stage:Stage I, alive, 374 days
16501.0
TCGA-A4-7732-01A
55 years, male, black or african american, stage:'--, alive, 582 days
16473.3
TCGA-BQ-5889-01A
63 years, male, white, stage:Stage IV, dead, 329 days
16343.3
TCGA-BQ-5887-01A
54 years, male, white, stage:Stage III, alive, 771 days
16254.4
TCGA-5P-A9JW-01A
64 years, male, white, stage:'--, alive, 3241 days
16195.8
TCGA-SX-A7SO-01A
64 years, male, white, stage:Stage I, alive, 1257 days
15729.5
TCGA-2Z-A9JD-01A
66 years, male, white, stage:Stage I, alive, 1060 days
15720.2
TCGA-A4-7286-01A
42 years, male, white, stage:'--, alive, 554 days
15681.8
TCGA-B3-4104-01A
75 years, male, white, stage:Stage II, alive, 1049 days
15553.3
TCGA-MH-A55Z-01A
65 years, male, black or african american, stage:Stage I, alive, 845 days
15469.2
TCGA-SX-A7SU-01A
47 years, male, stage:Stage I, alive, 1331 days
15020.0
TCGA-B9-4117-01A
48 years, female, black or african american, stage:'--, alive, 14 days
14757.3
TCGA-2K-A9WE-01A
53 years, male, white, stage:Stage II, alive, 214 days
14451.9
TCGA-B9-A69E-01A
71 years, male, white, stage:Stage III, alive, 452 days
14250.2
TCGA-MH-A856-01A
54 years, male, white, stage:Stage I, alive, 947 days
13952.7
TCGA-BQ-5890-01A
69 years, male, white, stage:Stage III, alive, 233 days
13919.4
TCGA-KV-A6GD-01A
85 years, male, white, stage:Stage I, alive, 560 days
13830.0
TCGA-B1-A47O-01A
54 years, female, white, stage:Stage I, alive, 842 days
13814.8
TCGA-G7-6789-01A
53 years, female, white, stage:Stage IV, dead, 122 days
13667.5
TCGA-2Z-A9J2-01A
71 years, female, white, stage:Stage I, alive, 1795 days
13615.9
TCGA-UZ-A9PO-01A
80 years, male, white, stage:Stage I, alive, 1911 days
13602.5
TCGA-B9-4114-01A
49 years, male, black or african american, stage:'--, alive, 857 days
13560.3
TCGA-A4-8098-01A
73 years, male, black or african american, stage:Stage I, alive, 896 days
13475.6
TCGA-P4-AAVM-01A
69 years, male, white, stage:Stage I, alive, 1539 days
13457.0
TCGA-5P-A9JY-01A
79 years, male, white, stage:'--, dead, 1508 days
13351.9
TCGA-BQ-7060-01A
53 years, male, american indian or alaska native, stage:Stage I, alive, 214 days
13194.3
TCGA-5P-A9JU-01A
81 years, male, white, stage:Stage III, alive, 373 days
13176.4
TCGA-Y8-A895-01A
74 years, male, white, stage:Stage I, alive, 484 days
13149.7
TCGA-2Z-A9JM-01A
28 years, male, white, stage:Stage I, alive, 934 days
13140.0
TCGA-IA-A83S-01A
81 years, male, white, stage:'--, dead, 2609 days
13089.9
TCGA-GL-6846-01A
52 years, male, white, stage:Stage IV, alive, 5925 days
13075.0
TCGA-PJ-A5Z8-01A
60 years, female, white, stage:Stage I, alive, 600 days
13031.2
TCGA-P4-A5E6-01A
67 years, male, black or african american, stage:Stage III, alive, 3035 days
12978.5
TCGA-A4-A4ZT-01A
71 years, female, white, stage:Stage I, alive, 516 days
12957.6
TCGA-P4-AAVO-01A
69 years, male, white, stage:Stage I, alive, 2400 days
12926.3
TCGA-DW-7837-01A
43 years, male, black or african american, stage:Stage I, alive, 1142 days
12910.8
TCGA-UZ-A9PQ-01A
59 years, male, black or african american, stage:Stage III, dead, 2624 days
12864.6
TCGA-B1-5398-01A
73 years, male, white, stage:Stage III, alive, 1251 days
12850.0
TCGA-2Z-A9JT-01A
71 years, male, white, stage:Stage I, alive, 684 days
12842.9
TCGA-P4-A5ED-01A
51 years, male, white, stage:Stage I, alive, 2816 days
12663.4
TCGA-BQ-5875-01A
66 years, female, white, stage:Stage III, alive, 2639 days
12628.1
TCGA-2Z-A9JN-01A
50 years, female, black or african american, stage:Stage I, alive, 740 days
12544.1
TCGA-A4-7288-01A
71 years, female, white, stage:'--, alive, 1857 days
12529.0
TCGA-GL-A4EM-01A
61 years, male, white, stage:Stage I, alive, 32 days
12521.9
TCGA-SX-A7SL-01A
74 years, male, stage:Stage I, alive, 823 days
12382.9
TCGA-A4-A5Y0-01A
61 years, female, white, stage:Stage I, alive, 252 days
12373.1
TCGA-SX-A71V-01A
80 years, male, white, stage:Stage I, alive, 876 days
12237.3
TCGA-G7-A8LC-01A
61 years, male, white, stage:Stage I, alive, 702 days
12060.0
TCGA-B1-A656-01A
64 years, male, white, stage:Stage I, alive, 618 days
12026.0
TCGA-A4-8630-01A
59 years, female, white, stage:Stage I, alive, 436 days
11931.7
TCGA-BQ-5888-01A
74 years, female, white, stage:Stage I, alive, 403 days
11914.1
TCGA-BQ-7061-01A
83 years, female, white, stage:Stage I, alive, 218 days
11901.2
TCGA-BQ-7062-01A
64 years, male, black or african american, stage:Stage I, alive, 116 days
11672.9
TCGA-GL-A59R-01A
79 years, male, white, stage:Stage III, alive, 378 days
11602.8
TCGA-BQ-7055-01A
73 years, male, white, stage:Stage I, alive, 799 days
11421.2
TCGA-A4-7584-01A
59 years, male, black or african american, stage:Stage I, alive, 650 days
11361.3
TCGA-IA-A40U-01A
56 years, male, white, stage:Stage III, alive, 511 days
11347.7
TCGA-SX-A7SR-01A
66 years, male, white, stage:Stage II, alive, 805 days
11249.2
TCGA-A4-A48D-01A
84 years, male, black or african american, stage:Stage I, alive, 379 days
11136.8
TCGA-5P-A9KF-01A
53 years, male, white, stage:'--, alive, 845 days
11102.8
TCGA-BQ-7048-01A
64 years, male, white, stage:Stage III, alive, 2839 days
11034.4
TCGA-5P-A9KE-01A
70 years, male, white, stage:'--, alive, 824 days
10943.4
TCGA-GL-A9DE-01A
74 years, male, black or african american, stage:Stage I, alive, 496 days
10876.1
TCGA-MH-A560-01A
62 years, male, white, stage:Stage I, alive, 924 days
10771.1
TCGA-KV-A6GE-01A
65 years, male, white, stage:Stage I, alive, 885 days
10770.6
TCGA-SX-A7SQ-01A
48 years, male, white, stage:Stage I, alive, 1266 days
10615.7
TCGA-A4-7287-01A
75 years, female, white, stage:Stage I, dead, 597 days
10612.6
TCGA-SX-A7SP-01A
66 years, female, white, stage:Stage I, dead, 496 days
10524.6
TCGA-Y8-A896-01A
62 years, male, white, stage:Stage III, alive, 567 days
10506.0
TCGA-A4-8312-01A
60 years, male, black or african american, stage:Stage I, alive, 708 days
10504.2
TCGA-DW-5560-01A
38 years, female, white, stage:Stage I, alive, 1486 days
10368.5
TCGA-B3-3925-01A
52 years, male, white, stage:Stage III, alive, 1029 days
10307.3
TCGA-G7-6792-01A
40 years, male, black or african american, stage:Stage I, alive, 2765 days
10261.3
TCGA-5P-A9K0-01A
75 years, male, white, stage:'--, alive, 677 days
10213.6
TCGA-DW-7841-01A
61 years, male, black or african american, stage:Stage I, alive, 445 days
10186.1
TCGA-UZ-A9PZ-01A
65 years, male, white, stage:Stage III, alive, 657 days
10127.7
TCGA-SX-A7SN-01A
52 years, male, white, stage:Stage I, alive, 578 days
10058.2
TCGA-UZ-A9PU-01A
77 years, male, white, stage:Stage I, dead, 933 days
10057.0
TCGA-IA-A83W-01A
70 years, male, white, stage:Stage I, dead, 2043 days
10025.4
TCGA-BQ-5881-01A
69 years, male, white, stage:Stage I, alive, 1454 days
10016.0
TCGA-BQ-5892-01A
51 years, male, white, stage:Stage I, alive, 364 days
9993.3
TCGA-GL-A9DD-01A
69 years, male, white, stage:Stage I, alive, 341 days
9760.5
TCGA-2Z-A9J5-01A
80 years, male, white, stage:Stage II, alive, 3050 days
9746.7
TCGA-Y8-A8RZ-01A
55 years, male, white, stage:Stage I, alive, 205 days
9674.6
TCGA-5P-A9K6-01A
64 years, male, white, stage:'--, alive, 1914 days
9621.4
TCGA-B9-A8YH-01A
52 years, male, black or african american, stage:Stage I, alive, 532 days
9586.3
TCGA-2Z-A9JP-01A
63 years, male, white, stage:Stage I, alive, 893 days
9545.7
TCGA-G7-6796-01A
58 years, male, white, stage:Stage I, alive, 2173 days
9425.1
TCGA-BQ-7053-01A
57 years, female, black or african american, stage:Stage III, alive, 1516 days
9354.3
TCGA-UZ-A9PL-01A
59 years, male, white, stage:Stage II, alive, 3152 days
9149.9
TCGA-A4-8516-01A
62 years, male, white, stage:Stage III, alive, 23 days
9117.4
TCGA-V9-A7HT-01A
67 years, male, black or african american, stage:Stage II, alive, 965 days
9116.1
TCGA-UZ-A9PS-01A
62 years, female, black or african american, stage:Stage II, alive, 2167 days
8969.9
TCGA-4A-A93X-01A
58 years, male, white, stage:Stage IV, alive, 390 days
8952.8
TCGA-BQ-7046-01A
61 years, male, white, stage:Stage I, alive, 2948 days
8904.1
TCGA-B3-4103-01A
56 years, male, white, stage:Stage I, alive, 930 days
8889.3
TCGA-UZ-A9PK-01A
71 years, male, white, stage:Stage I, alive, 3571 days
8875.0
TCGA-5P-A9K9-01A
59 years, female, white, stage:'--, dead, 589 days
8798.8
TCGA-A4-7585-01A
67 years, male, white, stage:Stage III, dead, 1070 days
8788.9
TCGA-2Z-A9J3-01A
67 years, male, white, stage:Stage II, dead, 1771 days
8673.9
TCGA-2Z-A9J1-01A
71 years, male, white, stage:Stage I, alive, 2298 days
8553.9
TCGA-A4-7583-01A
60 years, male, black or african american, stage:Stage I, alive, 3 days
8528.4
TCGA-P4-A5EA-01A
54 years, female, white, stage:Stage III, dead, 201 days
8468.6
TCGA-5P-A9KC-01A
51 years, female, white, stage:'--, alive, 377 days
8395.1
TCGA-IZ-8195-01A
82 years, male, white, stage:Stage II, alive, 677 days
8379.6
TCGA-BQ-7045-01A
78 years, male, black or african american, stage:Stage I, dead, 1468 days
8325.2
TCGA-IA-A83V-01A
63 years, male, white, stage:Stage I, dead, 2941 days
8324.7
TCGA-UZ-A9PN-01A
54 years, male, white, stage:Stage III, dead, 1136 days
8169.6
TCGA-B3-3926-01A
59 years, female, white, stage:Stage I, alive, 883 days
8100.2
TCGA-UZ-A9Q0-01A
60 years, male, white, stage:Stage I, alive, 3368 days
7932.5
TCGA-MH-A562-01A
57 years, male, black or african american, stage:Stage I, alive, 616 days
7906.1
TCGA-B1-7332-01A
60 years, female, black or african american, stage:Stage II, alive, 1141 days
7880.7
TCGA-2Z-A9J7-01A
63 years, male, white, stage:Stage IV, dead, 139 days
7869.9
TCGA-4A-A93W-01A
66 years, female, white, stage:Stage I, alive, 4 days
7804.3
TCGA-2Z-A9JE-01A
59 years, male, white, stage:Stage I, alive, 1728 days
7798.7
TCGA-B9-4116-01A
75 years, female, black or african american, stage:'--, alive, 627 days
7792.7
TCGA-GL-A59T-01A
46 years, male, white, stage:Stage I, alive, 546 days
7762.2
TCGA-B9-A5W9-01A
40 years, male, white, stage:Stage I, alive, 5 days
7726.9
TCGA-HE-7129-01A
male, stage:Stage II, alive, 2492 days
7715.1
TCGA-P4-A5E8-01A
57 years, male, white, stage:Stage III, dead, 1306 days
7711.5
TCGA-G7-A8LD-01A
71 years, male, white, stage:Stage III, dead, 514 days
7577.8
TCGA-2Z-A9J6-01A
60 years, male, white, stage:Stage I, alive, 1731 days
7549.5
TCGA-IA-A40Y-01A
60 years, female, white, stage:Stage III, alive, 62 days
7511.2
TCGA-P4-AAVK-01A
74 years, male, white, stage:Stage III, alive, 1590 days
7453.2
TCGA-BQ-5882-01A
54 years, male, stage:Stage III, dead, 658 days
7361.3
TCGA-G7-6797-01A
46 years, male, white, stage:Stage III, alive, 765 days
7348.5
TCGA-PJ-A5Z9-01A
80 years, female, white, stage:Stage I, alive, 540 days
7274.0
TCGA-A4-A5Y1-01A
75 years, male, white, stage:Stage III, dead, 395 days
7232.7
TCGA-BQ-7050-01A
53 years, female, white, stage:Stage I, alive, 1864 days
7223.0
TCGA-2Z-A9JL-01A
47 years, male, black or african american, stage:Stage I, alive, 1006 days
7160.0
TCGA-BQ-7059-01A
71 years, male, white, stage:Stage I, alive, 232 days
7102.2
TCGA-Y8-A894-01A
57 years, female, white, stage:Stage I, alive, 567 days
7101.1
TCGA-G7-A8LE-01A
62 years, male, white, stage:Stage I, alive, 2453 days
6939.6
TCGA-5P-A9JV-01A
49 years, male, white, stage:'--, alive, 2043 days
6890.0
TCGA-B1-A657-01A
54 years, male, white, stage:Stage I, alive, 641 days
6864.3
TCGA-F9-A7Q0-01A
37 years, female, asian, stage:Stage I, alive, 398 days
6860.5
TCGA-F9-A8NY-01A
38 years, female, asian, stage:Stage IV, alive, 36 days
6860.4
TCGA-B3-8121-01A
48 years, female, black or african american, stage:Stage I, alive, 379 days
6804.1
TCGA-Y8-A897-01A
68 years, female, white, stage:Stage I, alive, 549 days
6774.4
TCGA-DZ-6134-01A
69 years, male, white, stage:Stage I, alive, 1856 days
6773.2
TCGA-SX-A71U-01A
57 years, male, white, stage:Stage I, alive, 1357 days
6734.1
TCGA-HE-7130-01A
female, stage:Stage III, alive, 1770 days
6721.8
TCGA-2Z-A9JR-01A
57 years, male, white, stage:Stage I, alive, 161 days
6692.0
TCGA-Y8-A8S0-01A
58 years, male, white, stage:Stage I, alive, 183 days
6662.9
TCGA-B3-A6W5-01A
43 years, male, black or african american, stage:Stage I, alive, 309 days
6629.9
TCGA-SX-A71W-01A
66 years, male, white, stage:Stage I, alive, 1076 days
6493.8
TCGA-F9-A4JJ-01A
35 years, female, black or african american, stage:Stage III, dead, 325 days
6459.2
TCGA-2Z-A9JI-01A
38 years, male, white, stage:Stage III, alive, 1567 days
6445.3
TCGA-O9-A75Z-01A
44 years, male, white, stage:Stage I, alive, 471 days
6326.3
TCGA-BQ-5893-01A
61 years, male, white, stage:Stage IV, dead, 241 days
6300.7
TCGA-2Z-A9J8-01A
50 years, male, white, stage:Stage I, alive, 2790 days
6253.1
TCGA-2Z-A9JK-01A
50 years, male, white, stage:Stage III, alive, 1186 days
6227.4
TCGA-DW-7834-01A
53 years, male, white, stage:Stage I, alive, 3950 days
6209.2
TCGA-B9-4115-01A
53 years, male, black or african american, stage:Stage I, alive, 803 days
6138.2
TCGA-B1-A47M-01A
79 years, male, black or african american, stage:Stage III, alive, 659 days
6119.0
TCGA-5P-A9K8-01A
51 years, female, white, stage:'--, alive, 1309 days
6020.2
TCGA-5P-A9K4-01A
54 years, male, white, stage:'--, alive, 2184 days
6005.6
TCGA-UZ-A9PR-01A
84 years, male, white, stage:Stage I, alive, 2191 days
5956.5
TCGA-P4-A5EB-01A
83 years, male, white, stage:Stage I, alive, 2477 days
5934.1
TCGA-DW-7836-01A
55 years, male, white, stage:Stage I, alive, 1093 days
5895.2
TCGA-IA-A83T-01A
80 years, male, white, stage:'--, dead, 2684 days
5894.5
TCGA-UZ-A9PV-01A
65 years, male, white, stage:Stage I, alive, 1444 days
5882.0
TCGA-IZ-8196-01A
50 years, male, white, stage:Stage I, alive, 649 days
5831.9
TCGA-2Z-A9JG-01A
64 years, male, white, stage:Stage I, alive, 1662 days
5745.8
TCGA-P4-A5E7-01A
74 years, female, white, stage:Stage I, alive, 2649 days
5738.6
TCGA-UZ-A9PM-01A
62 years, male, white, stage:Stage II, alive, 3811 days
5737.0
TCGA-B9-5156-01A
51 years, male, white, stage:'--, alive, 1338 days
5673.5
TCGA-BQ-5883-01A
79 years, female, black or african american, stage:Stage I, alive, 1242 days
5611.3
TCGA-EV-5902-01A
58 years, male, white, stage:Stage I, alive, 578 days
5527.8
TCGA-2Z-A9JS-01A
74 years, male, white, stage:Stage I, dead, 492 days
5493.3
TCGA-BQ-5884-01A
59 years, female, black or african american, stage:Stage I, alive, 792 days
5452.7
TCGA-Y8-A898-01A
69 years, male, white, stage:Stage I, alive, 475 days
5367.8
TCGA-A4-8310-01A
58 years, male, white, stage:Stage III, alive, 780 days
5359.8
TCGA-4A-A93Y-01A
63 years, female, black or african american, stage:Stage II, alive, 352 days
5344.2
TCGA-DW-7838-01A
66 years, male, white, stage:Stage I, alive, 744 days
5291.4
TCGA-B1-A655-01A
77 years, female, white, stage:Stage I, alive, 510 days
5286.2
TCGA-5P-A9JZ-01A
51 years, female, white, stage:'--, alive, 2744 days
5177.1
TCGA-GL-A9DC-01A
66 years, female, white, stage:Stage I, alive, 392 days
5119.8
TCGA-DZ-6133-01A
66 years, female, white, stage:Stage I, dead, 1557 days
4987.8
TCGA-5P-A9KA-01A
61 years, male, white, stage:'--, alive, 395 days
4918.5
TCGA-DW-7839-01A
58 years, female, white, stage:Stage I, alive, 419 days
4856.7
TCGA-AL-7173-01A
72 years, female, white, stage:Stage IV, alive, 2060 days
4821.5
TCGA-A4-7828-01A
74 years, female, black or african american, stage:Stage I, alive, 238 days
4782.0
TCGA-A4-8515-01A
47 years, male, american indian or alaska native, stage:Stage I, alive, 709 days
4781.2
TCGA-AL-3467-01A
54 years, female, white, stage:'--, alive, 2135 days
4755.7
TCGA-B9-A5W8-01A
50 years, male, black or african american, stage:Stage II, alive, 524 days
4742.1
TCGA-SX-A71S-01A
66 years, female, white, stage:Stage I, alive, 1504 days
4646.3
TCGA-G7-A4TM-01A
40 years, male, black or african american, stage:Stage I, alive, 768 days
4642.2
TCGA-UZ-A9PJ-01A
78 years, male, white, stage:Stage I, dead, 797 days
4635.6
TCGA-GL-7773-01A
63 years, male, white, stage:Stage I, alive, 393 days
4613.3
TCGA-DZ-6132-01A
69 years, male, stage:Stage I, alive, 2460 days
4597.0
TCGA-DZ-6131-01A
31 years, male, white, stage:Stage III, alive, 2429 days
4585.7
TCGA-A4-7915-01A
35 years, female, black or african american, stage:Stage II, alive, 7 days
4563.4
TCGA-KV-A74V-01A
40 years, male, white, stage:Stage I, alive, 347 days
4507.0
TCGA-A4-A57E-01A
59 years, male, white, stage:Stage IV, dead, 258 days
4481.2
TCGA-UN-AAZ9-01A
76 years, female, black or african american, stage:Stage I, alive, 548 days
4398.8
TCGA-MH-A855-01A
52 years, female, black or african american, stage:Stage II, alive, 369 days
4349.6
TCGA-G7-6793-01A
60 years, female, white, stage:Stage IV, dead, 336 days
4312.7
TCGA-EV-5903-01A
57 years, male, white, stage:Stage I, alive, 757 days
4264.5
TCGA-UZ-A9PP-01A
60 years, male, white, stage:Stage I, alive, 3010 days
4169.4
TCGA-MH-A857-01A
63 years, male, black or african american, stage:Stage I, alive, 890 days
3969.0
TCGA-HE-A5NH-01A
62 years, male, stage:Stage I, alive, 791 days
3942.6
TCGA-BQ-5876-01A
75 years, male, white, stage:Stage I, alive, 586 days
3941.7
TCGA-F9-A7VF-01A
75 years, female, white, stage:Stage I, alive, 73 days
3846.7
TCGA-J7-6720-01A
42 years, male, asian, stage:Stage I, alive, 388 days
3753.0
TCGA-B9-5155-01A
71 years, male, white, stage:Stage III, alive, 665 days
3737.0
TCGA-Y8-A8S1-01A
61 years, male, white, stage:Stage I, alive, 404 days
3732.6
TCGA-MH-A561-01A
66 years, male, white, stage:Stage I, alive, 841 days
3681.0
TCGA-BQ-5894-01A
42 years, male, stage:Stage IV, alive, 84 days
3524.6
TCGA-DW-7842-01A
52 years, male, white, stage:Stage I, alive, 92 days
3474.1
TCGA-P4-AAVL-01A
85 years, male, white, stage:Stage III, dead, 487 days
3470.3
TCGA-A4-A6HP-01A
66 years, male, white, stage:Stage I, alive, 379 days
3439.1
TCGA-GL-7966-01A
28 years, female, white, stage:Stage III, alive, 112 days
3397.9
TCGA-EV-5901-01A
47 years, female, white, stage:Stage I, alive, 1040 days
3234.4
TCGA-DZ-6135-01A
45 years, male, stage:Stage I, alive, 2269 days
3229.0
TCGA-IZ-A6M9-01A
63 years, male, white, stage:Stage I, alive, 376 days
3194.7
TCGA-BQ-7051-01A
74 years, male, white, stage:Stage II, alive, 1533 days
3114.1
TCGA-MH-A854-01A
62 years, female, black or african american, stage:Stage I, alive, 536 days
3107.2
TCGA-BQ-7049-01A
45 years, female, white, stage:Stage I, dead, 1364 days
2859.6
TCGA-2Z-A9J9-01A
77 years, male, black or african american, stage:Stage I, alive, 2294 days
2856.5
TCGA-A4-7997-01A
67 years, male, white, stage:Stage I, alive, 927 days
2733.7
TCGA-BQ-5878-01A
79 years, female, white, stage:Stage III, alive, 1938 days
2723.4
TCGA-G7-7501-01A
55 years, female, black or african american, stage:Stage III, dead, 624 days
2652.5
TCGA-GL-8500-01A
63 years, male, white, stage:Stage I, alive, 841 days
2644.9
TCGA-Q2-A5QZ-01A
61 years, female, black or african american, stage:Stage III, alive, 428 days
2629.8
TCGA-B9-A5W7-01A
47 years, male, black or african american, stage:Stage I, alive, 585 days
2551.8
TCGA-B1-A654-01A
43 years, female, black or african american, stage:Stage I, alive, 616 days
2327.0
TCGA-F9-A97G-01A
79 years, male, asian, stage:Stage III, alive, 13 days
2252.9
TCGA-2Z-A9JQ-01A
66 years, male, white, stage:Stage I, alive, 778 days
2131.5
TCGA-2Z-A9JJ-01A
69 years, female, white, stage:Stage I, alive, 1213 days
2080.4
TCGA-BQ-5879-01A
32 years, female, white, stage:Stage III, dead, 697 days
2070.9
TCGA-AL-3473-01A
55 years, male, white, stage:Stage II, alive, 1906 days
1868.0
TCGA-IZ-A6M8-01A
69 years, male, black or african american, stage:Stage I, alive, 497 days
1780.5
TCGA-J7-8537-01A
37 years, female, asian, stage:Stage III, dead, 321 days
1706.6
TCGA-BQ-5891-01A
57 years, female, white, stage:Stage III, alive, 29 days
1554.8
TCGA-BQ-5877-01A
60 years, male, black or african american, stage:Stage IV, dead, 270 days
1482.2
TCGA-A4-7734-01A
53 years, female, white, stage:Stage I, alive, 27 days
1380.1
TCGA-AL-A5DJ-01A
54 years, female, white, stage:Stage III, dead, 1498 days
1262.8
TCGA-IA-A40X-01A
49 years, female, black or african american, stage:Stage I, alive, 608 days
1237.0
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RENAL CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
194
Samples
Sample ID
Sample type
nRPX
CPT0026410003
Tumor
N/A
CPT0002370001
Normal
N/A
CPT0000790001
Normal
N/A
CPT0019130003
Tumor
N/A
CPT0088570001
Normal
N/A
CPT0065820001
Normal
N/A
CPT0025880003
Tumor
N/A
CPT0076330003
Tumor
N/A
CPT0001180009
Tumor
N/A
CPT0078800003
Tumor
N/A
CPT0078660003
Tumor
N/A
CPT0065690003
Tumor
N/A
CPT0078930003
Tumor
N/A
CPT0011240003
Tumor
N/A
CPT0084560003
Tumor
N/A
CPT0012670003
Tumor
N/A
CPT0002350011
Tumor
N/A
CPT0012920003
Normal
N/A
CPT0064370003
Tumor
N/A
CPT0088900003
Tumor
N/A
CPT0006730001
Normal
N/A
CPT0007870001
Normal
N/A
CPT0087040003
Tumor
N/A
CPT0079380003
Tumor
N/A
CPT0025170003
Tumor
N/A
CPT0024670003
Tumor
N/A
CPT0012640003
Normal
N/A
CPT0078830003
Tumor
N/A
CPT0021240003
Tumor
N/A
CPT0071150004
Tumor
N/A
CPT0089020003
Tumor
N/A
CPT0088970003
Tumor
N/A
CPT0066480003
Tumor
N/A
CPT0000870016
Tumor
N/A
CPT0092790003
Tumor
N/A
CPT0025610001
Normal
N/A
CPT0063330001
Normal
N/A
CPT0001350001
Normal
N/A
CPT0078940001
Normal
N/A
CPT0086830003
Normal
N/A
CPT0088760003
Tumor
N/A
CPT0092190003
Normal
N/A
CPT0002270011
Tumor
N/A
CPT0088550004
Tumor
N/A
CPT0023710001
Normal
N/A
CPT0077140001
Normal
N/A
CPT0025230003
Tumor
N/A
CPT0025050003
Tumor
N/A
CPT0075720003
Tumor
N/A
CPT0012570003
Normal
N/A
CPT0089040001
Normal
N/A
CPT0017850003
Tumor
N/A
CPT0019990003
Tumor
N/A
CPT0012900004
Tumor
N/A
CPT0000780007
Tumor
N/A
CPT0023360001
Normal
N/A
CPT0001510001
Normal
N/A
CPT0078840001
Normal
N/A
CPT0010110003
Tumor
N/A
CPT0086890003
Normal
N/A
CPT0092290003
Tumor
N/A
CPT0020120003
Tumor
N/A
CPT0088640003
Normal
N/A
CPT0088500001
Normal
N/A
CPT0069010001
Normal
N/A
CPT0006440003
Tumor
N/A
CPT0063630003
Tumor
N/A
CPT0001550001
Normal
N/A
CPT0086950003
Tumor
N/A
CPT0014350001
Normal
N/A
CPT0014470001
Normal
N/A
CPT0086360003
Tumor
N/A
CPT0069160003
Tumor
N/A
CPT0006950001
Normal
N/A
CPT0007860003
Tumor
N/A
CPT0082010001
Normal
N/A
CPT0079230003
Tumor
N/A
CPT0001340003
Tumor
N/A
CPT0011410003
Tumor
N/A
CPT0079180003
Tumor
N/A
CPT0012080003
Tumor
N/A
CPT0084590001
Normal
N/A
CPT0063640001
Normal
N/A
CPT0009000003
Tumor
N/A
CPT0010170001
Normal
N/A
CPT0079270003
Tumor
N/A
CPT0069190001
Normal
N/A
CPT0001270001
Normal
N/A
CPT0015810003
Tumor
N/A
CPT0025110003
Tumor
N/A
CPT0024680001
Normal
N/A
CPT0012090003
Normal
N/A
CPT0009020003
Normal
N/A
CPT0077310003
Tumor
N/A
CPT0077490003
Tumor
N/A
CPT0014160003
Tumor
N/A
CPT0078530001
Normal
N/A
CPT0020020001
Normal
N/A
CPT0066520001
Normal
N/A
CPT0014370004
Tumor
N/A
CPT0001500009
Tumor
N/A
CPT0081600003
Tumor
N/A
CPT0001190001
Normal
N/A
CPT0088630003
Tumor
N/A
CPT0069000003
Tumor
N/A
CPT0088710001
Normal
N/A
CPT0092160003
Tumor
N/A
CPT0006630003
Tumor
N/A
CPT0001260009
Tumor
N/A
CPT0065750003
Tumor
N/A
CPT0065930003
Tumor
N/A
CPT0012770003
Normal
N/A
CPT0012180003
Tumor
N/A
CPT0017410003
Tumor
N/A
CPT0023350003
Tumor
N/A
CPT0075570001
Normal
N/A
CPT0014130001
Normal
N/A
CPT0078510003
Tumor
N/A
CPT0066470004
Tumor
N/A
CPT0065450001
Normal
N/A
CPT0079000001
Normal
N/A
CPT0092800003
Normal
N/A
CPT0006900003
Tumor
N/A
CPT0015910003
Tumor
N/A
CPT0020130001
Normal
N/A
CPT0089480003
Normal
N/A
CPT0007470001
Normal
N/A
CPT0064400001
Normal
N/A
CPT0088920001
Normal
N/A
CPT0092730003
Tumor
N/A
CPT0077110003
Tumor
N/A
CPT0086030003
Tumor
N/A
CPT0025290003
Tumor
N/A
CPT0012550003
Tumor
N/A
CPT0018250001
Normal
N/A
CPT0017450001
Normal
N/A
CPT0077320001
Normal
N/A
CPT0077500001
Normal
N/A
CPT0092310003
Normal
N/A
CPT0079480003
Tumor
N/A
CPT0006530001
Normal
N/A
CPT0065430003
Tumor
N/A
CPT0019160001
Normal
N/A
CPT0081620001
Normal
N/A
CPT0063320003
Tumor
N/A
CPT0078670001
Normal
N/A
CPT0089460004
Tumor
N/A
CPT0007320003
Tumor
N/A
CPT0088690003
Tumor
N/A
CPT0010160003
Tumor
N/A
CPT0014450004
Tumor
N/A
CPT0025920001
Normal
N/A
CPT0076350001
Normal
N/A
CPT0015730003
Tumor
N/A
CPT0025350003
Tumor
N/A
CPT0012370003
Tumor
N/A
CPT0012280003
Tumor
N/A
CPT0009080003
Normal
N/A
CPT0079410003
Tumor
N/A
CPT0075560003
Tumor
N/A
CPT0001230001
Normal
N/A
CPT0079510001
Normal
N/A
CPT0066430001
Normal
N/A
CPT0001540009
Tumor
N/A
CPT0078990003
Tumor
N/A
CPT0065810003
Tumor
N/A
CPT0010120001
Normal
N/A
CPT0086870003
Tumor
N/A
CPT0075170001
Normal
N/A
CPT0000640003
Tumor
N/A
CPT0065870003
Tumor
N/A
CPT0088780001
Normal
N/A
CPT0086970003
Normal
N/A
CPT0079300001
Normal
N/A
CPT0092740003
Normal
N/A
CPT0085670003
Tumor
N/A
CPT0081880003
Tumor
N/A
CPT0013790003
Normal
N/A
CPT0012290003
Normal
N/A
CPT0087050003
Normal
N/A
CPT0009060003
Tumor
N/A
CPT0023690003
Tumor
N/A
CPT0001220008
Tumor
N/A
CPT0088480003
Tumor
N/A
CPT0026420001
Normal
N/A
CPT0079430001
Normal
N/A
CPT0000890001
Normal
N/A
CPT0086370003
Normal
N/A
CPT0025580004
Tumor
N/A
CPT0081990003
Tumor
N/A
CPT0025060001
Normal
N/A
CPT0075130003
Tumor
N/A
CPT0000660001
Normal
N/A
CPT0086820003
Tumor
N/A
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RENAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
The Human Protein Atlas project is funded
